The Resource Data analysis for scientists and engineers, [by] Stuart L. Meyer
Data analysis for scientists and engineers, [by] Stuart L. Meyer
Resource Information
The item Data analysis for scientists and engineers, [by] Stuart L. Meyer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Data analysis for scientists and engineers, [by] Stuart L. Meyer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Language
 eng
 Extent
 513 pages
 Contents

 pt. I. Introduction to scientific measurement. The meaning of measurement
 The conduct of an experimental investigation
 The scientific report
 Procedure in a laboratory and the laboratory notebook
 Experimental errors
 Rejection of data: Chauvenet's criterion and its dangers
 The philosophy of sampling and the definition of statistical concepts
 Discussion of the analysis of samples
 Discussion of discrete and continuous frequency distributions and histograms
 Propagation of error and least squares
 pt. II. Introduction to graphical techniques and curve fitting. Display graphs
 Correlation graphs
 Graphs relating more than two variables
 Straightline graphs and fitting
 Reduction to straightline graphs
 Calculating charts
 pt. III. Probability. The meaning of probability
 Some arithmetic on combinations and permutations
 Event calculusthe logic of probability
 Joint probability distributions and functions of random variables
 Geometrical probability, random numbers, and Monte Carlo experiments
 pt. IV. Some probability distributions and applications. The binomial distribution
 The hypergeometric distribution
 The Poisson distribution
 The Gaussian or normal distribution
 The chisquare distribution
 Student's t distribution
 Miscellaneous other probability distributions and examples
 pt. V. Statistical inference. Estimation
 Estimation and the method of maximum likelihood
 Hypothesis testing and significance
 Chisquare minimization methods
 Leastsquares methods; curve fitting
 Isbn
 9780471599951
 Label
 Data analysis for scientists and engineers
 Title
 Data analysis for scientists and engineers
 Statement of responsibility
 [by] Stuart L. Meyer
 Language
 eng
 Cataloging source
 DLC
 http://library.link/vocab/creatorDate
 1937
 http://library.link/vocab/creatorName
 Meyer, Stuart L.
 Illustrations
 illustrations
 Index
 index present
 Literary form
 non fiction
 Nature of contents
 bibliography
 Series statement
 Wiley series in probability and mathematical statistics
 http://library.link/vocab/subjectName

 Mathematical statistics
 Probabilities
 Label
 Data analysis for scientists and engineers, [by] Stuart L. Meyer
 Bibliography note
 Bibliography: pages 499504
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 pt. I. Introduction to scientific measurement. The meaning of measurement  The conduct of an experimental investigation  The scientific report  Procedure in a laboratory and the laboratory notebook  Experimental errors  Rejection of data: Chauvenet's criterion and its dangers  The philosophy of sampling and the definition of statistical concepts  Discussion of the analysis of samples  Discussion of discrete and continuous frequency distributions and histograms  Propagation of error and least squares  pt. II. Introduction to graphical techniques and curve fitting. Display graphs  Correlation graphs  Graphs relating more than two variables  Straightline graphs and fitting  Reduction to straightline graphs  Calculating charts  pt. III. Probability. The meaning of probability  Some arithmetic on combinations and permutations  Event calculusthe logic of probability  Joint probability distributions and functions of random variables  Geometrical probability, random numbers, and Monte Carlo experiments  pt. IV. Some probability distributions and applications. The binomial distribution  The hypergeometric distribution  The Poisson distribution  The Gaussian or normal distribution  The chisquare distribution  Student's t distribution  Miscellaneous other probability distributions and examples  pt. V. Statistical inference. Estimation  Estimation and the method of maximum likelihood  Hypothesis testing and significance  Chisquare minimization methods  Leastsquares methods; curve fitting
 Control code
 903034
 Dimensions
 26 cm
 Extent
 513 pages
 Isbn
 9780471599951
 Lccn
 74008873
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (WaOLN)319757
 Label
 Data analysis for scientists and engineers, [by] Stuart L. Meyer
 Bibliography note
 Bibliography: pages 499504
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 pt. I. Introduction to scientific measurement. The meaning of measurement  The conduct of an experimental investigation  The scientific report  Procedure in a laboratory and the laboratory notebook  Experimental errors  Rejection of data: Chauvenet's criterion and its dangers  The philosophy of sampling and the definition of statistical concepts  Discussion of the analysis of samples  Discussion of discrete and continuous frequency distributions and histograms  Propagation of error and least squares  pt. II. Introduction to graphical techniques and curve fitting. Display graphs  Correlation graphs  Graphs relating more than two variables  Straightline graphs and fitting  Reduction to straightline graphs  Calculating charts  pt. III. Probability. The meaning of probability  Some arithmetic on combinations and permutations  Event calculusthe logic of probability  Joint probability distributions and functions of random variables  Geometrical probability, random numbers, and Monte Carlo experiments  pt. IV. Some probability distributions and applications. The binomial distribution  The hypergeometric distribution  The Poisson distribution  The Gaussian or normal distribution  The chisquare distribution  Student's t distribution  Miscellaneous other probability distributions and examples  pt. V. Statistical inference. Estimation  Estimation and the method of maximum likelihood  Hypothesis testing and significance  Chisquare minimization methods  Leastsquares methods; curve fitting
 Control code
 903034
 Dimensions
 26 cm
 Extent
 513 pages
 Isbn
 9780471599951
 Lccn
 74008873
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (WaOLN)319757
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Dataanalysisforscientistsandengineersby/yKjAJKk3CVI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Dataanalysisforscientistsandengineersby/yKjAJKk3CVI/">Data analysis for scientists and engineers, [by] Stuart L. Meyer</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>