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Illuminating statistical analysis us...

Kottemann, Jeffrey E.

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Illuminating statistical analysis using scenarios and simulations

Record Type:	Electronic resources : Monograph/item
Title/Author:	Illuminating statistical analysis using scenarios and simulations/ Jeffrey E Kottemann.
Author:	Kottemann, Jeffrey E.
Published:	Hoboken, NJ :John Wiley & Sons, : c2017.,
Description:	1 online resource (xi, 297 p.) :ill. (some col.)
Notes:	Title from PDF title page (viewed 10/26/17)
Subject:	Mathematical statistics. -
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119296386
ISBN:	9781119296386

Illuminating statistical analysis using scenarios and simulations
Kottemann, Jeffrey E.

Illuminating statistical analysis using scenarios and simulations[electronic resource] /Jeffrey E Kottemann. - 1st ed. - Hoboken, NJ :John Wiley & Sons,c2017. - 1 online resource (xi, 297 p.) :ill. (some col.)

Title from PDF title page (viewed 10/26/17)

"Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ranging concepts and methods of statistics and inference. Illuminating Statistical Analysis Using Scenarios and Simulations presents the basic concepts of statistics and statistical inference using the dual mechanisms of scenarios and simulations. This approach helps readers develop key intuitions and deep understandings of statistical analysis. Scenario-specific sampling simulations depict the results that would be obtained by a very large number of individuals investigating the same scenario, each with their own evidence, while graphical depictions of the simulation results present clear and direct pathways to intuitive methods for statistical inference. These intuitive methods can then be easily linked to traditional formulaic methods, and the author does not simply explain the linkages, but rather provides demonstrations throughout for a broad range of statistical phenomena. In addition, induction and deduction are repeatedly interwoven, which fosters a natural "need to know basis" for ordering the topic coverage. Examining computer simulation results is central to the discussion and provides an illustrative way to (re)discover the properties of sample statistics, the role of chance, and to (re)invent corresponding principles of statistical inference. In addition, the simulation results foreshadow the various mathematical formulas that underlie statistical analysis. In addition, this book: Features both an intuitive and analytical perspective and includes a broad introduction to the use of Monte Carlo simulation and formulaic methods for statistical analysis; Presents straight-forward coverage of the essentials of basic statistics and ensures proper understanding of key concepts such as sampling distributions, the effects of sample size and variance on uncertainty, analysis of proportion, mean and rank differences, covariance, correlation, and regression; Introduces advanced topics such as Bayesian statistics, data mining, model cross-validation, robust regression, and resampling; Contains numerous example problems in each chapter with detailed solutions as well as an appendix that serves as a manual for constructing simulations quickly and easily using MicrosoftÂ® Office ExcelÂ®. Illuminating Statistical Analysis Using Scenarios and Simulations is an ideal textbook for courses, seminars, and workshops in statistics and statistical inference and is appropriate for self-study as well. The book also serves as a thought-provoking treatise for researchers, scientists, managers, technicians, and others with a keen interest in statistical analysis"--The publisher.

ISBN: 9781119296386Subjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276 / .K676 2017eb

Dewey Class. No.: 519.5

Illuminating statistical analysis using scenarios and simulations
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003 OCoLC
005 20180330091355.5
006 m o d
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008 181211s2017 njua o 001 0 eng d
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020 $z 9781119296331 $q (cloth)
020 $z 1119296331 $q (cloth)
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040 $a N $b eng $c N $d IDEBK $d EBLCP $d DG1 $d YDX $d MERUC $d UMI $d TEFOD $d COO $d UPM $d OTZ $d OCLCQ $d NAM $d DEBBG $d OCLCQ
050 4 $a QA276 $b .K676 2017eb
082 0 4 $a 519.5 $2 23
100 1 $a Kottemann, Jeffrey E. $3 3229088
245 1 0 $a Illuminating statistical analysis using scenarios and simulations $h [electronic resource] / $c Jeffrey E Kottemann.
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c c2017.
300 $a 1 online resource (xi, 297 p.) : $b ill. (some col.)
500 $a Title from PDF title page (viewed 10/26/17)
500 $a Includes index.
520 $a "Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ranging concepts and methods of statistics and inference. Illuminating Statistical Analysis Using Scenarios and Simulations presents the basic concepts of statistics and statistical inference using the dual mechanisms of scenarios and simulations. This approach helps readers develop key intuitions and deep understandings of statistical analysis. Scenario-specific sampling simulations depict the results that would be obtained by a very large number of individuals investigating the same scenario, each with their own evidence, while graphical depictions of the simulation results present clear and direct pathways to intuitive methods for statistical inference. These intuitive methods can then be easily linked to traditional formulaic methods, and the author does not simply explain the linkages, but rather provides demonstrations throughout for a broad range of statistical phenomena. In addition, induction and deduction are repeatedly interwoven, which fosters a natural "need to know basis" for ordering the topic coverage. Examining computer simulation results is central to the discussion and provides an illustrative way to (re)discover the properties of sample statistics, the role of chance, and to (re)invent corresponding principles of statistical inference. In addition, the simulation results foreshadow the various mathematical formulas that underlie statistical analysis. In addition, this book: Features both an intuitive and analytical perspective and includes a broad introduction to the use of Monte Carlo simulation and formulaic methods for statistical analysis; Presents straight-forward coverage of the essentials of basic statistics and ensures proper understanding of key concepts such as sampling distributions, the effects of sample size and variance on uncertainty, analysis of proportion, mean and rank differences, covariance, correlation, and regression; Introduces advanced topics such as Bayesian statistics, data mining, model cross-validation, robust regression, and resampling; Contains numerous example problems in each chapter with detailed solutions as well as an appendix that serves as a manual for constructing simulations quickly and easily using MicrosoftÂ® Office ExcelÂ®. Illuminating Statistical Analysis Using Scenarios and Simulations is an ideal textbook for courses, seminars, and workshops in statistics and statistical inference and is appropriate for self-study as well. The book also serves as a thought-provoking treatise for researchers, scientists, managers, technicians, and others with a keen interest in statistical analysis"--The publisher.
588 $a Description based on print version record.
650 0 $a Mathematical statistics. $3 516858
650 0 $a Distribution (Probability theory) $3 533179
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119296386