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Regression analysis
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Regression analysis
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- A beginner's guide to structural equation modeling
- A bias bound for least squares linear regression
- A collection of three papers on test of hypothesis following a preliminary test on regression
- A comparison of case-based reasoning and regression analysis approaches for cost uncertainty modeling
- A comparison of ordinary least squares, Kalman filtering and ordinary ridge regression
- A correlation procedure for augmenting hydrologic data
- A distribution-free theory of nonparametric regression
- A geographic information system tool to solve regression equations and estimate flow-frequency characteristics of Vermont streams
- A guide to modern econometrics
- A logistic regression equation for estimating the probability of a stream flowing perennially in Massachusetts
- A look at various estimators in logistic models in the presence of missing values
- A method-bridging study for serum 25-hydroxyvitamin D to standardize historical radioimmunoassay data to liquid chromatography-tandem mass spectrometry
- A primer on regression artifacts
- A supply-demand regression analysis econometric model for outdoor recreation
- A system approach for the study and control of factors affecting water pollution
- Adaptive regression
- Adaptive tests of significance using permutations of residuals with R and SAS
- Alternative methods of regression
- An Evaluation of regression methods to estimate nutritional condition of canvasbacks and other water birds
- An acceleration technique for a conjugate direction algorithm for nonlinear regression
- An algorithm for isotonic regression in the plane
- An algorithm for restricted least squares regression
- An exploration of the moderating impact of mentorship on the relationship between Christian religious orientation and moral reasoning
- An introduction to linear regression and correlation
- An introduction to regression and correlation
- Analysis of Three Different Regression Models to Estimate the Ballistic Performance of New and Environmentally Conditioned Body Armor
- Analyzing environmental data
- Analyzing experimental data by regression
- Analyzing qualitative/categorical data : log-linear models and latent-structure analysis
- Another heteroskedasticity and autocorrelation consistent covariance matrix estimator
- Anthropometric regression equations for the estimation of body composition in young female gymnasts
- Application of multiple regression and principal component analysis to growth prediction and phytosociological studies of black spruce stands
- Application of nonlinear-regression methods to a ground-water flow model of the Albuquerque Basin, New Mexico
- Application of the linear regression technique for determining length and weight of six fish taxa : the role of selected fish in Aleut paleodiet
- Applied categorical and count data analysis
- Applied linear regression
- Applied linear regression
- Applied linear regression
- Applied linear regression models
- Applied linear regression models
- Applied linear statistical models
- Applied linear statistical models : regression, analysis of variance, and experimental designs
- Applied linear statistical models : regression, analysis of variance, and experimental designs
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression analysis
- Applied logistic regression analysis
- Applied logistic regression.
- Applied longitudinal analysis
- Applied longitudinal analysis
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate statistics with SAS software
- Applied nonparametric regression
- Applied quantitative analysis in education and the social sciences
- Applied regression : an introduction
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis : a research tool
- Applied regression analysis : a second course in business and economic statistics
- Applied regression analysis and experimental design
- Applied regression analysis and generalized linear models
- Applied regression analysis and other multivariable methods
- Applied regression analysis and other multivariable methods
- Applied regression analysis and other multivariable methods
- Applied regression analysis and other multivariable methods
- Applied regression analysis for business and economics
- Applied regression analysis in econometrics
- Applied regression analysis, linear models, and related methods
- Applied regression modeling : a business approach
- Applied statistics : analysis of variance and regression
- Applied statistics : analysis of variance and regression
- Applied statistics : analysis of variance and regression
- Applying regression & correlation : a guide for students and researchers
- Assessing the probability of bankruptcy : an application of the Hosmer-Lemeshow modelling strategy
- Assessment of uncertainty in the determination of kinetic reaction parameters for polymeric materials
- Asymptotic tests for the constancy of regressions in the heteroscedastic case
- Asymptotically median unbiased estimation of coefficient variance in a time varying parameter model
- Asymptotics for GMM estimators with weak instruments
- Bayesian estimation and experimental design in linear regression models
- Bayesian estimation and experimental design in linear regression models
- Bayesian methodology for verifying recommendations to minimize asphalt pavement distress
- Bayesian smoothing and regression for longitudinal, spatial and event history data
- Bayesian smoothing spline analysis of variance models
- Best fit lines and curves, and some mathe-magical transformations
- Biased estimators in the linear regression model
- Biomass equations for major tree species of the northeast
- Business control through multiple regression analysis : a technique for the numerate manager
- Challenges in analytical quality assurance
- Characteristics and Influential factors of food deserts
- Classical and modern regression with applications
- Classification and regression trees
- Clinical prediction models : a practical approach to development, validation, and updating
- Clustering and unsupervised learning, Part 4, Introduction to real-world machine learning
- Comparison of three regression lines over a finite interval
- Comparison of two regression lines over a finite interval
- Computer methods of fitting surfaces to assay and other data by regression analysis
- Conditioning diagnostics : collinearity and weak data in regression
- Confluence analysis by means of instrumental sets of variables
- Coping with multicollinearity : an example on application of principal components regression in dendroecology
- Correlation and regression analysis
- Correlation and regression analysis : a historian's guide
- Correlations of phase-boundary pressures of condensate fluid systems with compositions modified by added butane
- Data Analysis and Applications 1
- Data analysis and regression : a second course in statistics
- Data analysis for research designs : analysis-of-variance and multiple regression/correlation approaches
- Data analysis using regression and multilevel/hierarchical models
- Dealing with real-world data, Part 1, Introduction to real-world machine learning
- Decision trees for analytics : using SAS Enterprise Miner
- Design and analysis of a new bounded log-linear regression model
- Design of experiments in nonlinear models : asymptotic normality, optimality criteria and small-sample properties
- Designing general linear models to test research hypotheses
- Development and application of regression models for estimating nutrient concentrations in streams of the conterminous United States, 1992-2001
- Development and application of watershed regressions for pesticides (WARP) for estimating atrazine concentration distributions in streams
- Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park Ohio 2009-11
- Development of regression equations to estimate flow durations and low-flow-frequency statistics in New Hampshire streams
- Discovering partial least squares with JMP
- Does pooling saliva for cotinine testing save money without losing information?
- Dry season mean monthly flow and harmonic mean flow regression equations for selected ungaged basins in Arkansas
- Dynamic regression models for survival data
- Dynamic regression models for survival data
- Econometric flexibility in microsimulation : an age-centered regression approach
- Economic applications of quantile regression
- Effects of intercorrelation upon multiple correlation and regression measures
- Empirical Bayes estimates of parameters from the logistic regression model
- Environment and forest regeneration in the Illinois Valley area of southwestern Oregon
- Essential Statistics, Regression, and Econometrics
- Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables
- Estimation of constituent concentrations, densities, loads, and yields in lower Kansas River, northeast Kansas, using regression models and continuous water-quality monitoring, January 2000 through December 2003
- Estimation of constituent concentrations, loads, and yields in streams of Johnson County, northeast Kansas, using continuous water-quality monitoring and regression models, October 2002 through December 2006
- Estimation of isotonic regression
- Estimation of limited-dependent variable models with dummy endogenous regressors : simple strategies for empirical practice
- Estimation of regression functions with certain monotonicity and concavity/convexity restrictions
- Evaluating statistical techniques for predicting and interpreting FORPLAN results
- Evaluating sulfur and ash distribution in coal seams by statistical response surface regression analysis
- Evaluation of drainage-area ratio method used to estimate streamflow for the Red River of the North Basin, North Dakota and Minnesota
- Event history analysis in demography
- Expert trading systems : modeling financial markets with kernel regression
- Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
- Fading foundations : probability and the regress problem
- Financial reforms and firm investments in Korea : a switching regression approach
- Finite sample prediction of stationary and non-invertible ARMA-processes : a comparison of the CSS-technique (conditional sum of squares) and Kalman filtering
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Five-hole flow angle probe calibration for the NASA Glenn Icing Research Tunnel
- Fixed effects regression methods for longitudinal data : using SAS
- Forcing regression through a given point using any familiar computational routine
- Forecasting inflation with probit and regression models
- Forecasting with dynamic regression models
- Forecasting, time series, and regression : an applied approach
- Formulas useful for linear regression analysis and related matrix theory : it's only formulas but we like them
- Functional relations, random coefficients, and nonlinear regression with application to kinetic data
- Generalized body composition prediction equations for men using simple measurement techniques
- Generalized estimates from streamflow data of annual and seasonal ground-water-recharge rates for drainage basins in New Hampshire
- Generalized estimates from streamflow data of annual and seasonal ground-water-recharge rates for drainage basins in New Hampshire
- Geographically weighted regression : the analysis of spatially varying relationships
- Growth curve modeling : theory and applications
- Handbook for linear regression
- Handbook of advanced multilevel analysis
- Handbook of nonlinear regression models
- Hedge fund replication using a strategy specific modeling approach
- Highway safety : factors affecting involvement in vehicle crashes : report to congressional requesters
- Identifying proxy sets in multiple linear regression : an aid to better coefficient interpretation
- Image processing and jump regression analysis
- Imposing moment restrictions from auxiliary data by weighting
- Improving efficiency by shrinkage : the James-Stein and ridge regression estimators
- Improving the trainee socialization process in basic combat training
- Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting
- Interaction effects and difference-in-difference estimation in loglinear models
- Interaction effects in multiple regression
- Intermediate politometrics
- Interpolation and regression models for the chemical engineer : solving numerical problems
- Interpreting and using regression
- Introduction to Mixed Modelling : Beyond Regression and Analysis of Variance
- Introduction to linear models
- Introduction to linear regression analysis
- Introduction to linear regression analysis
- Introduction to linear regression analysis
- Introduction to linear regression analysis
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to mixed modelling : beyond regression and analysis of variance
- Introduction to statistical time series
- Introduction to statistical time series
- Least absolute deviations : theory, applications, and algorithms
- Least squares and maximum likelihood estimation of switching regressions
- Least squares estimation in the regression model with autoregressive-moving average errors
- Least squares regression analysis in terms of linear algebra
- Leskinen's preliminary orthogonalizing ridge estimator and a new measure of multicollinearity
- Linear and nonlinear models : fixed effects, random effects, and mixed models
- Linear models : an integrated approach
- Linear regression
- Linear regression analysis
- Linear regression analysis : theory and computing
- Linear regression, Part 2, Introduction to real-world machine learning
- Linear statistical models : an applied approach
- Linear statistical models and related methods : with applications to social research
- Local regression and likelihood
- Logistic regression : a self-learning text
- Logistic regression with missing values in the covariates
- Longitudinal categorical data analysis
- Machine learning 101 with Scikit-Learn and StatsModels
- Measurement error in nonlinear models
- Measurement error models
- Measurement, regression, and calibration
- Meta-regression approaches : what, why, when, and how?
- Methods and applications of linear models : regression and the analysis of variance
- Methods and applications of linear models : regression and the analysis of variance
- Methods for adjusting U.S. Geological Survey rural regression peak discharges in an urban setting
- Methods for estimating flow-duration and annual mean-flow statistics for ungaged streams in Oklahoma
- Methods for estimating peak discharge and flood boundaries of streams in Utah
- Model discrimination for nonlinear regression models
- Model selection criteria based on Kullback information measures for Weibull, logistic, and nonlinear regression frameworks
- Model selection criteria based on Kullback information measures for Weibull, logistic, and nonlinear regression frameworks
- Modelling spatial processes : the identification and analysis of spatial relationships in regression residuals by means of Moran's I
- Models in regression and related topics
- Modern regression methods
- Modern regression methods
- Mostly harmless econometrics : an empiricist's companion
- Multilevel analysis : techniques and applications
- Multilevel analysis for applied research : it's just regression!
- Multiple and generalized nonparametric regression
- Multiple comparison techniques for order restricted models
- Multiple imputation approaches to regression analysis of interval-censored failure time data
- Multiple linear regression viewpoints
- Multiple regression : testing and interpreting interactions
- Multiple regression and analysis of variance : an introduction for computer users in management and economics
- Multiple regression and beyond
- Multiple regression and the analysis of variance and covariance
- Multiple regression assumptions
- Multiple regression in behavioral research
- Multiple regression in behavioral research : explanation and prediction
- Multiple regression in practice
- Multiple regression models of the mechanics of the acceleration phase of ice skating
- Multiple regression with discrete dependent variables
- Multiple-regression equations to estimate peak-flow frequency for streams in Hays County, Texas
- Multivariable model-building : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
- Multivariate reduced-rank regression : theory and applications
- Multivariate regression model for partitioning tree volume of white oak into round-product classes
- National Center for Health Statistics guidelines for analysis of trends
- Nonlinear regression
- Nonlinear regression analysis and its applications
- Nonlinear regression modeling : a unified practical approach
- Nonlinear statistical models
- Nonparametric applications of Bayesian inference
- Nonparametric estimation following a preliminary test on regression : a collection of four papers
- Nonparametric estimation of probability densities and regression curves
- Nonparametric regression analysis of longitudinal data
- Nonparametric regression and generalized linear models : a roughness penalty approach
- Nonparametric regression and spline smoothing
- Nonparametric simple regression : smoothing scatterplots
- Nonproportional hazards regression models for survival analysis
- Nonrecursive causal models
- On consistency in monotonic regression
- Optimal design : an introduction to the theory for parameter estimation
- Optimal design for nonlinear response models
- Order restricted inferences on parameters in generalized linear models with emphasis on logistic regression
- Order restricted statistical inference
- Ordered regression models : parallel, partial, and non-parallel alternatives
- Ordinal methods for behavioral data analysis
- Partial identification of probability distributions
- Pedestrian speed-flow-density characteristics
- Penalized linear regression in Python
- Performance of an axisymmetric rocket based combined cycle engine during rocket only operation using linear regression analysis
- Plots, transformations, and regression : an introduction to graphical methods of diagnostic regression analysis
- Practical guide to logistic regression
- Predicting the rate of change in timber value for forest stands infested with gypsy moth
- Prediction of energy cost of submaximal exercise in women
- Prediction of heavy snow events in the Snake River Plain using pattern recognition and regression techniques
- Predictions in time series using regression models
- Predictive regressions
- Prevalence of U.S. food insecurity is related to changes in unemployment, inflation, and the price of food
- Principal components analysis and partial least squares regression
- Principles of regression analysis
- Procedures for adjusting regional regression models of urban-runoff quality using local data
- Procedures for adjusting regional regression models of urban-runoff quality using local data
- Procedures for estimation of Weibull parameters
- Program for multiple correlation and regression equations : one dependent and up to five independent variables on the IBM 650 digital computer
- Proportional hazards regression
- Proportional hazards regression
- Quantifying error in vegetation mapping
- Quantile regression
- Quantile regression : theory and applications
- Quantile regression for spatial data
- Rain rate statistics in southern New Mexico
- Random coefficient autoregressive models : an introduction
- Random coefficient models
- Rational distributed lag models with autoregressive-moving average errors
- Recent advances in linear models and related areas
- Recent advances in regression methods
- Regional regresion equations to estimate flow-duration statistics at ungaged stream sites in Connecticut
- Regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas
- Regional regression equations for estimation of natural streamflow statistics in Colorado
- Regionalization of surface-water statistics using multiple linear regression
- Regression : linear models in statistics
- Regression : models, methods and applications
- Regression analysis
- Regression analysis : a constructive critique
- Regression analysis : statistical modeling of a response variable
- Regression analysis : theory, methods and applications
- Regression analysis Microsoft Excel
- Regression analysis and empirical processes
- Regression analysis and hypothesis testing in R : inferring business relationships
- Regression analysis and its application : a data-oriented approach
- Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis for categorical moderators
- Regression analysis for the social sciences
- Regression analysis of count data
- Regression analysis of count data
- Regression analysis of stage variability for west-central Florida lakes
- Regression analysis of time series data
- Regression analysis under a priori parameter restrictions
- Regression analysis under a priori parameter restrictions
- Regression analysis with Python : learn the art of regression analysis with Python
- Regression analysis with R : design and develop statistical nodes to identify unique relationships within data at scale
- Regression and factor analysis applied in econometrics
- Regression and the Moore-Penrose pseudoinverse
- Regression and time series model selection
- Regression diagnostics
- Regression diagnostics : identifying influential data and sources of collinearity
- Regression discontinuity designs : theory and applications
- Regression estimation from grouped observations
- Regression for categorical data
- Regression methods : a tool for data analysis
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression model for explaining and predicting concentrations of dieldrin in whole fish from United States streams
- Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Regression models : censored, sample selected or truncated data
- Regression models for categorical and limited dependent variables
- Regression models for categorical dependent variables using Stata
- Regression models for estimating sediment and nutrient concentrations and loads at the Iroquois River near Foresman, Indiana, March 2015 through July 2018
- Regression models for time series analysis
- Regression on linear composites : statistical theory and applications
- Regression with dummy variables
- Regression with graphics : a second course in applied statistics
- Regression with linear predictors
- Regression with linear predictors
- Regression with one-sided errors in the dependent variable
- Regression with social data : modeling continuous and limited response variables
- Regression, ANOVA, and the general linear model : a statistics primer
- Regression, a second course in statistics
- Regression-based tests of predictive ability
- Regressionnyĭ analiz ėkonomicheskikh vremennykh ri︠a︡dov s parabolicheskimi trendami
- Relative suitabilities of regression models in electronic analysis of riparian vegetation
- Research design for program evaluation : the regression-discontinuity approach
- Residuals and influence in regression
- Robust Response Surfaces, Regression, and Positive Data Analyses
- Robust diagnostic regression analysis
- Robust nonlinear regression : with applications using R
- Robust regression : analysis and applications
- Robust regression analysis of growth in basal area of natural pine stands in Georgia and Alabama, 1962-72 and 1972-82
- Robust regression and outlier detection
- Sample size determination and power
- Sample size determination and power
- Satellite rainfall retrieval by logistic regression
- SeawaveQ--an R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables, version 2.0.0
- Selection of econometric models by the information criterion
- Semiparametric analysis of panel count data
- Semiparametric regression
- Semiparametric regression for the applied econometrician
- Semiparametric regression for the social sciences
- Semiparametric regression with random effects
- Sensitivity analysis in linear regression
- Single equation methods in econometrics : applied regression analysis
- Slicing regression : a link-free regression method
- Solutions manual to accompany Modern regression methods
- Some topics in wavelet shrinkage
- Spatially adaptive priors for regression and spatial modeling
- Spline regression models
- Spline smoothing and nonparametric regression
- Statistical analysis of failure time data with missing information
- Statistical analysis of multivariate interval-censored failure time data
- Statistical inference for models with multivariate t-distributed errors
- Statistical inference in random coefficient regression models
- Statistical inference under order restrictions ; : the theory and application of isotonic regression
- Statistical learning from a regression perspective
- Statistical learning from a regression perspective
- Statistical methods : the geometric approach
- Statistical methods for forecasting
- Statistical methods in biology : design and analysis of experiments and regression
- Statistical modeling : applications in contemporary issues
- Statistical modelling and regression structures : festschrift in honour of Ludwig Fahrmeir
- Statistical models : theory and practice
- Statistical models for the social and behavioral sciences : multiple regression and limited-dependent variable models
- Statistical regression with measurement error
- Statistical studies of various time-to-fail distributions
- Statistical tools for nonlinear regression : a practical guide with S-PLUS examples
- Statistics for economists : an introduction
- Stochastic approximation and nonlinear regression
- Stochastic model for solar sensor array data
- Stochastic parameter regression models
- Subset selection in regression
- Subset selection in regression
- Supervised classification algorithms, Part 3, Introduction to real-world machine learning
- Testing for random walk coefficients in regression and state space models
- Testing regression models based on sample survey data
- Testing research hypotheses using multiple linear regression
- The SAGE handbook of regression analysis and causal inference
- The SAGE handbook of regression analysis and causal inference
- The adjoint projection pursuit regression
- The application of regression analysis
- The coordinate-free approach to Gauss-Markov estimation
- The coordinate-free approach to linear models
- The determinants of educational outcomes : the impact of families, peers, teachers, and schools
- The development of a regression equation to predict workload for the Astrand-Rhyming test
- The linear regression model under test
- The nonparametric analysis of interval-censored failure time data
- The relative effect of charge dimensions on elastic vibration attenuation and blast-induced seismic energy concepts
- The roots of backpropagation : from ordered derivatives to neural networks and political forecasting
- The statistical analysis of failure time data
- The statistical analysis of failure time data
- The theory of dispersion models
- The use of chemical and physical properties for characterization of strontium distribution coefficients at the Idaho National Engineering and Environmental Laboratory, Idaho
- The use of contrast coefficients : supplement to McNeil, Kelly, and McNeil Testing research hypotheses using multiple linear regression
- The use of multidimensional scaling and Euclidean regression in the analysis of outdoor recreation use patterns : a pilot investigation
- Theory of preliminary test and Stein-type estimation with applications
- Thunderstorm peak gust estimation for structural engineering design
- Thunderstorm peak gust estimation for structural engineering design
- Time series analysis : regression techniques
- Time series and forecasting with IDA
- Transformation and weighting in regression
- Tree volume and biomass equations for the Lake States
- Two methods for examining the stability of regression coefficients
- Understanding multivariate research : a primer for beginning social scientists
- Understanding regression analysis
- Understanding regression analysis : an introductory guide
- Unweighted means and complete least-squares regression analyses of disproportionate cell data
- Use of boosted regression trees to quantify cumulative instream flow resulting from curtailment of irrigation in the Sprague River Basin, Oregon
- Use of continuous monitors and autosamplers to predict unmeasured water-quality constituents in tributaries of the Tualatin River, Oregon
- Using conditional probability to predict solar-powered pump-and-treat performance
- Using econometrics : a beginner's guide
- Using econometrics : a practical guide
- Using econometrics : a practical guide
- Using econometrics : a practical guide
- Using statistical tools
- Validation of selected regression equations for predicting body density, body fat percentage, lean body weight, and body fat weight
- Validation studies : the use of multiple regression equations
- Weighted empirical processes in dynamic nonlinear models
- Weighted linear regression using D2H and D2 as the independent variables

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