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MATHEMATICS -- Probability & Statistics | General
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- 25 recipes for getting started with R
- A beginner's guide to R
- A career in statistics : beyond the numbers
- A comparison of the bayesian and frequentist approaches to estimation
- A comprehensive guide to factorial two-level experimentation
- A concise guide to statistics
- A first course in probability and Markov chains
- A guide to business statistics
- A modern theory of factorial design
- A multiple-testing approach to the multivariate Behrens-Fisher problem : with simulations and examples in SAS®
- A probability and statistics companion
- A tiny handbook of R
- Adaptive designs for sequential treatment allocation
- Adaptive filtering : fundamentals of least mean squares with MATLAB
- Adaptive sampling designs : inference for sparse and clustered populations
- Advanced Object-Oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance
- Advanced statistical methods for the analysis of large data-sets
- Advanced statistics with applications in R
- Advances and challenges in space-time modelling of natural events
- Advances in Mathematical and Statistical Modeling
- Advances in data analysis, data handling and business intelligence : proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008
- Advances in directional and linear statistics : a festschrift for Sreenivasa Rao Jammalamadaka
- Advances in distribution theory, order statistics, and inference
- Advances in dynamic games : theory, applications, and numerical methods
- Advances in dynamic games and their applications : analytical and numerical developments
- Advances in growth curve models : topics from the Indian Statistical Institute
- Advances in heavy tailed risk modeling : a handbook of operational risk
- Advances in ranking and selection, multiple comparisons and reliablility : methodology and applications
- Advances in regression, survival analysis, extreme values, Markov processes and other statistical applications
- Advances in theoretical and applied statistics
- All of nonparametric statistics
- An accidental statistician : the life and memories of George E.P. Box
- An explanation of constrained optimization for economists
- An intermediate course in probability
- An introduction to Bartlett correction and bias reduction
- An introduction to discrete-valued time series
- An introduction to queueing theory : modeling and analysis in applications
- An introduction to random interlacements
- Analysis and Geometry of Markov Diffusion Operators
- Analysis and modeling of complex data in behavioral and social sciences
- Analysis and probability
- Analysis of variations for self-similar processes : a stochastic calculus approach
- Analyzing business data with Excel
- Analyzing compositional data with R
- Application of fuzzy logic to social choice theory
- Applied Bayesian modelling
- Applied data-centric social sciences : concepts, data, computation, and theory
- Applied econometrics with R
- Applied spatial data analysis with R
- Applied spatial data analysis with R
- Applied statistics : using SPSS, Statistica, MATLAB, and R
- Associated sequences, demimartingales and nonparametric inference
- Asymptotics for associated random variables
- Base SAS 9.4 procedures guide
- Base SAS 9.4 procedures guide : statistical procedures
- Basic data analysis for time series with R
- Basic principles and applications of probability theory
- Bayesian data analysis
- Bayesian networks in R : with applications in systems biology
- Beginning data science with R
- Behavioral research data analysis with R
- Big Data analytics with R and Hadoop : set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics
- Biosimilars : design and analysis of follow-on biologics
- Building better models with JMP Pro
- COMPSTAT : proceedings in computational statistics : 17th symposium held in Rome, Italy, 2006
- Carpenter's guide to innovative SAS techniques
- Categorical data analysis using SAS
- Categorical data analysis using the SAS system
- Challenges at the interface of data analysis, computer science, and optimization : proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010
- Chance rules : an informal guide to probability, risk and statistics
- Characteristic functions, scattering functions and transfer functions : the Moshe Livsic memorial volume
- Classic problems of probability
- Clinical graphs using SAS
- Cluster analysis
- Cognitive interviewing methodology
- Combinatorial search : from algorithms to systems
- Combinatorial stochastic processes : Ecole d'été de probabilités de Saint-Flour XXXII, 2002
- Combining and modifying SAS data sets : examples
- Common errors in statistics (and how to avoid them)
- Competing risks and multistate models with R
- Complex data modeling and computationally intensive statistical methods
- Complex models and computational methods in statistics
- Computation of multivariate normal and t probabilities
- Computational approaches to studying the co-evolution of networks and behavior in social dilemmas
- Computational probability : algorithms and applications in the mathematical sciences
- Computational statistics
- Computational statistics : an introduction to R
- Constructive nonsmooth analysis and related topics
- Contemporary developments in statistical theory : a festschrift for Hira Lal Koul
- Contract theory in continuous-time models
- Cooperation in classification and data analysis : proceedings of two German-Japanese workshops
- Copula theory and its applications : proceedings of the Workshop Held in Warsaw, 25-26 September 2009
- Counterfactuals and causal inference : methods and principles for social research
- Current trends in Bayesian methodology with applications
- Custom tasks for SAS Enterprise Guide using Microsoft .NET
- Data analysis : what can be learned from the past 50 years
- Data analysis and classification : proceedings of the 6th conference of the Classification and Data Analysis Group of the Società Italiana di Statistica
- Data analysis and statistics for geography, enviromental science, and engineering
- Data analysis with competing risks and intermediate states
- Data manipulation With R
- Data mashups in R
- Data mining for bioinformatics
- Data science and classification
- Data science in R : a case studies approach to computational reasoning and problem solving
- Data scientists at work
- Deconvolution problems in nonparametric statistics
- Dependence in probability and statistics
- Dependence in probability and statistics
- Design and analysis of experiments by douglas montgomery : a supplement for using JMP
- Design of experiments in nonlinear models : asymptotic normality, optimality criteria and small-sample properties
- Design of observational studies
- Design, analysis, and interpretation of genome-wide association scans
- Designing and conducting business surveys
- Deterministic global optimization : geometric branch-and-bound methods and their applications
- Developing credit risk models using SAS Enterprise Miner and SAS/STAT : theory and applications
- Difference and differential equations with applications in queueing theory
- Digital dice : computational solutions to practical probability problems
- Dirichlet and Related Distributions : Theory, Methods and Applications
- Discovering JMP 10
- Discovering JMP 11
- Discovering partial least squares with JMP
- Discrete event simulation for health technology assessment
- Discrete time branching processes in random environment
- Discretization of processes
- Dynamic documents with R and knitr
- Dynamic linear models with R
- Dynamic mixed models for familial longitudinal data
- Dynamic regression models for survival data
- Elementary statistics using SAS
- Elliptically contoured models in statistics and portfolio theory
- Empirical agent-based modelling-- challenges and solutions, Volume 1, The characterisation and parameterisation of empirical agent-based models
- End to end data analytics for product development : a practical guide for fast consumer goods companies, chemical industry and processing tools manufacturers
- Equivalence and noninferiority tests for quality, manufacturing and test engineers
- Essentials of time series for financial applications
- European success stories in industrial mathematics
- Even you can learn statistics : a guide for everyone who has ever been afraid of statistics
- Even you can learn statistics and analytics : an easy to understand guide to statistics and analytics
- Examples and problems in mathematical statistics
- Exploratory analysis of spatial and temporal data : a systematic approach
- Exploratory factor analysis with SAS
- Exploring everyday things with R and Ruby
- Exploring research frontiers in contemporary statistics and econometrics : a festschrift for Léopold Simar
- Explosive percolation in random networks
- Extremal fuzzy dynamic systems : theory and applications
- Facets of combinatorial optimization : Festschrift for Martin Grötschel
- Finite and boundary element tearing and interconnecting solvers for multiscale problems
- Fluctuations in markov processes : time symmetry and martingale approximation
- From stochastic calculus to mathematical finance : the Shiryaev Festschrift
- Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger
- Functional approach to optimal experimental design
- Functionals of multidimensional diffusions with applications to finance
- Fundamentals of applied probability and random processes
- Fundamentals of queuing systems : statistical methods for analyzing queuing models
- Fundamentals of statistical experimental design and analysis
- Fundamentals of stochastic filtering
- Fundamentals of stochastic networks
- Game theoretic approaches for spectrum redistribution
- Game theory : through examples
- Game theory for control of optical networks
- General Pontryagin-type stochastic maximum principle and backward stochastic evolution equations in infinite dimensions
- Generalized Weibull distributions
- Generalized linear and nonlinear models for correlated data : theory and applications using SAS
- Generic Inference : a Unifying Theory for Automated Reasoning
- German-Japanese interchange of data analysis results
- Getting started with RStudio
- Getting started with the Graph Template Language in SAS : examples, tips, and techniques for creating custom graphs
- Graphic discovery : a trout in the milk and other visual adventures
- Graphical models with R
- Grouping multidimensional data : recent advances in clustering
- Gröbner bases : statistics and software systems
- Guesstimation 2.0 : Solving Today's Problems on the Back of a Napkin
- Guesstimation : solving the world's problems on the back of a cocktail napkin
- Handbook of computational statistics : concepts and methods
- Handbook of discrete-valued time series
- Handbook of exchange rates
- Handbook of game theory with economic applications, Volume 4
- Handbook of meta-analysis in ecology and evolution
- Handbook of multilevel analysis
- Handbook of probability
- Handling missing data in ranked set sampling
- Hidden Semi-Markov models : theory, algorithms and applications
- High accuracy algorithm for the differential equations governing anomalous diffusion algorithm and models for anomalous diffusion
- High dimensional probability VI : the Banff Volume
- History of the central limit theorem : from classical to modern probability theory
- How to be a quantitative ecologist : the 'A to R' of green mathematics and statistics
- Hybrid switching diffusions : properties and applications
- ISS-2012 proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers
- Implementing CDISC using SAS : an end-to-end guide
- In memoriam Paul-Andre Meyer : Séminaire de probabilités XXXIX
- Inference for change-point and post-change means after a CUSUM test
- Inference on the Hurst parameter and the variance of diffusions driven by fractional Brownian motion
- Information and complexity in statistical modeling
- Information criteria and statistical modeling
- Innovations in classification, data science, and information systems : proceedings of the 27th annual conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003
- Input modeling with phase-type distributions and Markov models : theory and applications
- Interactive LISREL in practice : getting started with a SIMPLIS approach
- Intersections of random walks
- Introduction to Bayesian estimation and copula models of dependence
- Introduction to R for quantitative finance : solve a diverse range of problems with R, one of the most powerful tools for quantitative finance
- Introduction to Regular Expressions in SAS
- Introduction to biological networks
- Introduction to global optimization exploiting space-filling curves
- Introduction to high-dimensional statistics
- Introduction to imprecise probabilities
- Introduction to linear optimization and extensions with MATLAB
- Introduction to mathematical statistics
- Introduction to nonparametric estimation
- Introduction to probability
- Introduction to probability and stochastic processes with applications
- Introduction to statistics through resampling methods and R
- Introduction to stochastic analysis : integrals and differential equations
- Introduction to stochastic differential equations with applications to modelling in biology and finance
- Introduction to variance estimation
- Invariant probabilities of transition functions
- JMP 10 design of experiments guide
- JMP 10 modeling and multivariate methods
- JMP 10 scripting guide
- JMP 11 JSL syntax reference
- JMP 11 basic analysis
- JMP 11 consumer research
- JMP 11 design of experiments guide
- JMP 11 essential graphing
- JMP 11 profilers
- JMP 11 scripting guide
- JMP 11 version JSL syntax reference
- JMP 12 consumer research
- JMP 13 basic analysis
- JMP 13 design of experiments guide
- JMP 13 essential graphing
- JMP : Version 12 : basic analysis
- JMP : version 12 : JSL syntax reference
- JMP : version 12 : design of experiments guide
- JMP : version 12 : discovering JMP
- JMP : version 12 : essential graphing
- JMP : version 12 : multivariate methods
- JMP : version 12 : reliability and survival methods
- JMP : version 12 : scripting guide
- JMP for basic univariate and multivariate statistics : methods for researchers and social scientists
- JMP start statistics : a guide to statistics and data analysis using JMP
- JMP version 11 : Using JMP
- JMP version 11 fitting linear models
- JMP version 11 multivariate methods
- JMP version 11 quality and process methods
- JMP version 11 reliability and survival methods
- JMP version 12 fitting linear models
- JMP version 13 JSL syntax reference
- JMP version 13 fitting linear models
- JMP version 13 predictive and specialized modeling
- JMP version 13 profilers
- JMP version 13 quality and process methods
- JMP version 13 reliability and survival methods
- JMP version 13 scripting guide
- JSL companion : applications of the JMP scripting language
- Janus-faced probability
- Jmp 10 quality and reliability methods
- Joint models for longitudinal and time-to-event data : with applications in R
- Jump into JMP Scripting
- Karl Pearson : the scientific life in a statistical age
- L1-norm and L[infinity symbol]-norm estimation : an introduction to the least absolute residuals, the minimax absolute residual and related fitting procedures
- Laws of small numbers : extremes and rare events
- Leadership and Women in Statistics
- Learn R for Applied Statistics : With Data Visualizations, Regressions, and Statistics
- Learning regression analysis by simulation
- Level crossing methods in stochastic models
- Levy processes, integral equations, statistical physics : connections and interactions
- Limit theorems for multi-indexed sums of random variables
- Limit theorems in probability, statistics and number theory : in honor of Friedrich Götze
- Linear and generalized linear mixed models and their applications
- Linear mixed-effects models using R : a step-by-step approach
- Linear network error correction coding
- Linear programming and resource allocation modeling
- Linear programming computation
- Local variance estimation for uncensored and censored observations
- Log-gases and random matrices
- Longitudinal categorical data analysis
- Longitudinal data and SAS : a programmer's guide
- Lévy processes and their applications in reliability and storage
- MODa 10-- Advances in model-oriented design and analysis : proceedings of the 10th International Workshop in Model-Oriented Design and Analysis held in Łagów Lubuski, Poland, June 10-14, 2013
- MODa 8 : advances in model-oriented design and analysis : proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4-8, 2007
- Machine learning for decision makers : cognitive computing fundamentals for better decision making
- Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
- Machine learning with R cookbook : explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code
- Malliavin calculus and stochastic analysis : a festschrift in honor of David Nualart
- Markov bases in algebraic statistics
- Markov chains : analytic and Monte Carlo computations
- Mastering RStudio : develop, communicate, and collaborate with R : harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations
- Mastering Windows Server 2012 R2
- Mastering data analysis with R : gain clear insights into your data and solve real-world data science problems with R - from data munging to modeling and visualization
- Mastering predictive analytics with R : master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts
- Mathematical statistics
- Mathematical statistics
- Mathematical statistics : exercises and solutions
- Mathematical statistics and stochastic processes
- Matrix-analytic methods in stochastic models
- Metaheuristics for logistics
- Methods and applications of longitudinal data analysis
- Methods of optimization and systems analysis for problems of transcomputational complexity
- Metodi di stima in presenza di errori non campionari
- Missing data : analysis and design
- Mixed integer nonlinear programming
- Model based parameter estimation : theory and applications
- Modeling and Optimization: Theory and Applications : selected contributions from the MOPTA 2012 Conference
- Modeling and optimization : theory and applications ; Selected contributions from the MOPTA 2010 Conference
- Modeling with Itô stochastic differential equations
- Modelling population dynamics : model formulation, fitting and assessment using state-space methods
- Models for discrete longitudinal data
- Modern optimization techniques with applications in electric power systems
- Modern optimization with R
- Modern stochastics and applications
- Modern survey sampling
- Modèles et méthodes stochastiques : Une introduction avec applications
- Modélisation et statistique spatiales
- Monte Carlo and Quasi-Monte Carlo methods 2004
- Multi-indicator systems and modelling in partial order
- Multidimensional queueing models in telecommunication networks
- Multilevel modeling using R
- Multiple factor analysis by example using R
- Multiple time series modeling using the SAS VARMAX procedure
- Multistage Stochastic optimization
- Multivariate time series analysis and applications
- New advances in statistical modeling and applications
- New perspectives in partial least squares and related methods
- New perspectives on approximation and sampling theory : festschrift in honor of Paul Butzer's 85th birthday
- Noise-induced phenomena in slow-fast dynamical systems : a sample-paths approach
- Non-linear time series : extreme events and integer value problems
- Nonlinear parameter optimization using R tools
- Nonparametric Comparative Statics and Stability
- Nonparametric functional data analysis : theory and practice
- Nonparametric hypothesis testing : rank and permutation methods with applications in R
- Nonparametric statistical methods using R
- Nonparametric statistical process control
- Nonparametric statistics for social and behavioral sciences
- Numbers rule your world : the hidden influence of probability and statistics on everything you do
- ODS techniques : tips for enhancing your SAS output
- Open problems in spectral dimensionality reduction
- OpenStat reference manual
- Optimal design and related areas in optimization and statistics
- Optimal mixture experiments
- Optimal stochastic control schemes within a structural reliability framework
- Optimal stochastic control, stochastic target problems, and backward SDE
- Optimal stopping rules
- Optimisation et contrôle stochastique appliqués à la finance
- Optimization : algorithms and applications
- Optimization and control techniques and applications
- Optimization approaches for solving string selection problems
- Optimization for industrial problems
- Optimization in science and engineering : in honor of the 60th birthday of Panos M. Pardalos
- Option Valuation : a First Course in Financial Mathematics
- Oracle GoldenGate 11g complete cookbook : over 60 simple and easy-to-follow recipes to perform various GoldenGate administration tasks such as installing, configuring, and maintaining GoldenGate replication
- Ordered regression models : parallel, partial, and non-parallel alternatives
- Oscillation and stability of delay models in biology
- Outlier analysis
- PROC DOCUMENT by example using SAS
- PROC TABULATE by example
- PROC TEMPLATE made easy : a guide for SAS users
- Panel data econometrics with R
- Paradoxes in probability theory
- Parameterized and exact computation : first international workshop, IWPEC 2004, Bergen, Norway, September 14-17, 2004 : proceedings
- Parametric statistical change point analysis : with applications to genetics, medicine, and finance
- Penalty, shrinkage and pretest strategies : variable selection and estimation
- Permutation methods : a distance function approach
- Permutation tests for stochastic ordering and ANOVA : theory and applications with R
- Permutation tests in shape analysis
- Permutation, parametric and bootstrap tests of hypotheses
- Person-centered methods : configural frequency analysis (CFA) and other methods for the analysis of contingency tables
- Post-optimal analysis in linear semi-infinite optimization
- Practical R for mass communication and journalism
- Practical applications of Bayesian reliability
- Practical data analysis with JMP
- Practical data analysis with JMP
- Practical time series analysis using SAS
- Presenting data : how to communicate your message effectively
- Pricing in general insurance
- Principles and practice of structural equation modeling
- Prior processes and their applications : nonparametric Bayesian estimation
- Probabilistic logic networks : a comprehensive conceptual, mathematical and computational framework for uncertain inference
- Probabilistic models for dynamical systems
- Probabilistic symmetries and invariance principles
- Probability : a Graduate Course
- Probability and statistics for computer scientists
- Probability and stochastic processes : a friendly introduction for electrical and computer engineers
- Probability in complex physical systems : in honour of Erwin Bolthausen and Jürgen Gärtner
- Probability measures on semigroups : convolution products, random walks and random matrices
- Probability, random variables, statistics, and random processes : fundamentals & applications
- Proceedings of COMPSTAT'2010 : 19th international conference on Computational Statistics ; Paris France, August 22-27, 2010, keynote, invited and contributed papers
- Prokhorov and contemporary probability theory : in honor of Yuri V. Prokhorov
- Quantitative finance : a simulation-based introduction using Excel
- Quantitative finance : an object-oriented approach in C++
- Quasi-stationary distributions : Markov chains, diffusions and dynamical systems
- Queueing theory : a linear algebraic approach
- Queueing theory for telecommunications : discrete time modelling of a single node system
- R by example
- R cookbook : proven recipes for data analysis, statistics, and graphics
- R data analysis cookbook : over 80 recipes to help you breeze through your data analysis projects using R
- R for SAS and SPSS users
- R for Stata users
- R in a nutshell
- R in a nutshell
- R quick syntax reference
- ROC curves for continuous data
- Recent advances in applied probability
- Recent advances in global optimization
- Recent developments in applied probability and statistics : dedicated to the memory of Jürgen Lehn
- Recent developments in modeling and applications in statistics
- Regression analysis under a priori parameter restrictions
- Regularity concepts in nonsmooth analysis : theory and applications
- Reminiscences of a statistician : the company I kept
- Renewal processes
- Repeated measurements and cross-over designs
- Restricted parameter space estimation problems : admissibility and minimaxity properties
- Retrial queueing systems : a computational approach
- Risk Assessment and Evaluation of Predictions
- Robust cluster analysis and variable selection
- Robustness in statistical forecasting
- SAS 9.4 ODS graphics procedures guide
- SAS 9.4 ODS graphics procedures guide
- SAS 9.4 graph template language : user's guide
- SAS 9.4 language reference : concepts
- SAS 9.4 language reference concepts
- SAS 9.4 macro language : reference
- SAS 9.4 macro language : reference
- SAS business intelligence for the health care industry : practical applications
- SAS certification prep guide : base programming for SAS 9
- SAS encoding : understanding the details
- SAS for data analysis : intermediate statistical methods
- SAS for dummies
- SAS macro language magic : discovering advanced techniques
- SAS macro programming made easy
- SAS statistics by example
- SAS visual analytics 6.1 : getting started with exploration and reporting
- SPSS for dummies
- SPSS for starters, Part 2
- Sampling
- Sampling algorithms
- Scan statistics : methods and applications
- Selected papers of Frederick Mosteller
- Selected works of David Brillinger
- Selected works of E.L. Lehmann
- Selected works of Peter J. Bickel
- Selected works of R.M. Dudley
- Selected works of Terry Speed
- Selected works of Willem van Zwet
- Self-normalized processes : limit theory and statistical applications
- Semialgebraic statistics and latent tree models
- Semigroups, boundary value problems, and Markov processes
- Seminar on Stochastic Analysis, Random Fields and Applications V : Centro Stefano Franscini, Ascona, May 2005
- Seminar on Stochastic Analysis, Random Fields and Applications VII : Centro Stefano Franscini, Ascona, May 2011
- Seminar on stochastic analysis, random fields and applications VI : Centro Stefano Franscini, Ascona, May 2008
- Semiparametric theory and missing data
- Series approximation methods in statistics
- Sharing economy and big data analytics
- Sharpening your advanced SAS skills
- Simplicial global optimization
- Simulating data with SAS
- Simulation and inference for stochastic differential equations : with R examples
- Smoothing spline ANOVA models
- Spatial statistics and spatio-temporal data : covariance functions and directional properties
- Stability of the turnpike phenomenon in discrete-time optimal control problems
- Stationary stochastic processes
- Statistical Decision Theory
- Statistical analysis for business using JMP : a student's guide
- Statistical analysis of designed experiments
- Statistical analysis of environmental space-time processes
- Statistical analysis of panel count data
- Statistical analysis with Excel for dummies
- Statistical analysis with Excel for dummies
- Statistical analysis with missing data
- Statistical and inductive inference by minimum message length
- Statistical and machine learning approaches for network analysis
- Statistical computing in C++ and R
- Statistical computing with R
- Statistical decision problems : selected concepts and portfolio safeguard case studies
- Statistical graphics procedures by example : effective graphs using SAS
- Statistical hypothesis testing with SAS and R
- Statistical independence in probability, analysis and number theory
- Statistical inference for financial engineering
- Statistical inference on residual life
- Statistical inference, econometric analysis and matrix algebra : festschrift in honour of Gotz Trenkler
- Statistical learning and data science
- Statistical methods and applications from a historical perspective : selected issues
- Statistical methods for quality improvement
- Statistical methods for ranking data
- Statistical methods for spatial planning and monitoring
- Statistical modelling and regression structures : festschrift in honour of Ludwig Fahrmeir
- Statistical models for data analysis
- Statistical models for proportions and probabilities
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC
- Statistical tools for measuring agreement
- Statistics and data analysis for microarrays using R and Bioconductor
- Statistics and measurement concepts with OpenStat
- Statistics and probability with applications for engineers and scientists
- Statistics done wrong : Statistik richtig anwenden und gängige Fehler vermeiden
- Statistics done wrong : the woefully complete guide
- Statistics for dummies
- Statistics for mining engineering
- Statistics in Action : a Canadian Outlook
- Statistics in a nutshell
- Statistics is easy!
- Step-by-step programming with Base SAS 9.4
- Stochastic analysis 2010
- Stochastic analysis and applications 2014 : in honour of Terry Lyons
- Stochastic analysis and applications : the Abel Symposium 2005 : proceedings of the Second Abel Symposium, Oslo, July 29-August 4, 2005, held in honor of Kiyosi Itō
- Stochastic analysis and related topics : in honour of Ali Süleyman Üstünel, Paris, June 2010
- Stochastic and integral geometry
- Stochastic differential equations and processes : SAAP, Tunisia, October 7-9, 2010
- Stochastic differential equations, backward sdes, partial differential equations
- Stochastic geometry : lectures given at the C.I.M.E. Summer School, held in Martina Franca, Italy, September 13-18, 2004
- Stochastic network calculus
- Stochastic numerics for the Boltzmann equation
- Stochastic orders
- Stochastic ordinary and stochastic partial differential equations : transition from microscopic to macroscopic equations
- Stochastic processes : inference theory
- Stochastic simulation : algorithms and analysis
- Stopped random walks : limit theorems and applications
- Strategies for formulations development : a step-by-step guide using JMP
- Structural equation modeling with Mplus : basic concepts, applications, and programming
- Structure of approximate solutions of optimal control problems
- Student's t-Distribution and related stochastic processes
- Superconcentration and related topics
- Symmetric Markov processes, time change, and boundary theory
- Symmetric functionals on random matrices and random matchings problems
- Teaching elementary statistics with JMP
- Telegraph processes and option pricing
- Ten steps to ITSM success : a practitioner's guide to enterprise IT transformation
- Testing statistical assumptions in research
- Testing statistical hypotheses of equivalence and noninferiority
- Text mining with R : a tidy approach
- The Borel-Cantelli Lemma
- The Cambridge Dictionary of Statistics
- The Cambridge dictionary of statistics
- The Gini methodology : a primer on a statistical methodology
- The Poisson-Dirichlet distribution and related topics : models and asymptotic behaviors
- The R book
- The R book
- The Sherrington-Kirkpatrick model
- The art of R programming : tour of statistical software design
- The art of progressive censoring : applications to reliability and quality
- The art of random walks
- The basics of S-Plus
- The book of R : a first course in programming and statistics
- The bounds of reason : game theory and the unification of the behavioral sciences
- The complete idiot's guide to statistics
- The contribution of young researchers to Bayesian statistics : proceedings of BAYSM2013
- The end of average : how we succeed in a world that values sameness
- The frailty model
- The geometry of filtering
- The humongous book of statistics problems : translated for people who don't speak math!!
- The little SAS book : a primer
- The little SAS book : a primer
- The methods of distances in the theory of probability and statistics
- The nature of statistical evidence
- The practice of data analysis : essays in honor of John W. Tukey
- The random-cluster model
- The robust maximum principle : theory and applications
- The self-avoiding walk
- The significance test controversy revisited : the fiducial Bayesian alternative
- The statistical analysis of failure time data
- The statistical analysis of interval-censored failure time data
- The theory of stochastic processes III
- Theory and principled methods for the design of metaheuristics
- Theory of random sets
- Think stats
- Topics from Australian conferences on teaching statistics : OZCOTS 2008-2012
- Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
- Topics in applied statistics : 2012 Symposium of International Chinese Statistical Association
- Topics in mathematical analysis and applications
- Topics in nonparametric statistics : proceedings of the first Conference of the International Society for Nonparametric Statistics
- Topics in percolative and disordered systems
- Topics in statistical simulation : research papers from the 7th international workshop on statistical simulation
- Topological aspects of nonsmooth optimization
- Traces and emergence of nonlinear programming
- Trends in PDE constrained optimization
- Turnpike phenomenon and infinite horizon optimal control
- Two-way analysis of variance : statistical tests and graphics using R