Statistical Intervals

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Statistical Intervals

Author : William Q. Meeker,Gerald J. Hahn,Luis A. Escobar
Publisher : John Wiley & Sons
Page : 648 pages
File Size : 49,6 Mb
Release : 2017-04-10
Category : Mathematics
ISBN : 9780471687177

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Statistical Intervals by William Q. Meeker,Gerald J. Hahn,Luis A. Escobar Pdf

Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on: Likelihood-based statistical intervals Nonparametric bootstrap intervals Parametric bootstrap and other simulation-based intervals An introduction to Bayesian intervals Bayesian intervals for the popular binomial, Poisson and normal distributions Statistical intervals for Bayesian hierarchical models Advanced case studies, further illustrating the use of the newly described methods New technical appendices provide justification of the methods and pathways to extensions and further applications. A webpage directs readers to current readily accessible computer software and other useful information. Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.

Statistical Intervals

Author : Gerald J. Hahn,William Q. Meeker
Publisher : John Wiley & Sons
Page : 423 pages
File Size : 50,5 Mb
Release : 2011-09-28
Category : Mathematics
ISBN : 9780470317440

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Statistical Intervals by Gerald J. Hahn,William Q. Meeker Pdf

Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data. This includes confidence intervals to contain a population percentile, confidence intervals on probability of meeting specified threshold value, and prediction intervals to include observation in a future sample. Also has an appendix containing computer subroutines for nonparametric statistical intervals.

Statistics with Confidence

Author : Douglas Altman,David Machin,Trevor Bryant,Martin Gardner
Publisher : John Wiley & Sons
Page : 322 pages
File Size : 51,9 Mb
Release : 2013-06-03
Category : Medical
ISBN : 9781118702505

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Statistics with Confidence by Douglas Altman,David Machin,Trevor Bryant,Martin Gardner Pdf

This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.

Statistical Intervals

Author : William Q. Meeker,Gerald J. Hahn,Luis A. Escobar
Publisher : John Wiley & Sons
Page : 648 pages
File Size : 47,5 Mb
Release : 2017-03-09
Category : Mathematics
ISBN : 9781118594957

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Statistical Intervals by William Q. Meeker,Gerald J. Hahn,Luis A. Escobar Pdf

Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on: Likelihood-based statistical intervals Nonparametric bootstrap intervals Parametric bootstrap and other simulation-based intervals An introduction to Bayesian intervals Bayesian intervals for the popular binomial, Poisson and normal distributions Statistical intervals for Bayesian hierarchical models Advanced case studies, further illustrating the use of the newly described methods New technical appendices provide justification of the methods and pathways to extensions and further applications. A webpage directs readers to current readily accessible computer software and other useful information. Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.

Understanding The New Statistics

Author : Geoff Cumming
Publisher : Routledge
Page : 549 pages
File Size : 52,9 Mb
Release : 2013-06-19
Category : Psychology
ISBN : 9781136659188

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Understanding The New Statistics by Geoff Cumming Pdf

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

Confidence Intervals

Author : Michael Smithson
Publisher : SAGE
Page : 104 pages
File Size : 47,7 Mb
Release : 2003
Category : Mathematics
ISBN : 076192499X

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Confidence Intervals by Michael Smithson Pdf

Smithson first introduces the basis of the confidence interval framework and then provides the criteria for "best" confidence intervals, along with the trade-offs between confidence and precision. Next, using a reader-friendly style with lots of worked out examples from various disciplines, he covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power.

Statistical Applications for Environmental Analysis and Risk Assessment

Author : Joseph Ofungwu
Publisher : John Wiley & Sons
Page : 656 pages
File Size : 46,8 Mb
Release : 2014-05-06
Category : Social Science
ISBN : 9781118634516

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Statistical Applications for Environmental Analysis and Risk Assessment by Joseph Ofungwu Pdf

Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Featuring numerous worked examples using actual data and “ready-made” software scripts, Statistical Applications for Environmental Analysis and Risk Assessment also includes: • Descriptions of basic statistical concepts and principles in an informal style that does not presume prior familiarity with the subject • Detailed illustrations of statistical applications in the environmental and related water resources fields using real-world data in the contexts that would typically be encountered by practitioners • Software scripts using the high-powered statistical software system, R, and supplemented by USEPA’s ProUCL and USDOE’s VSP software packages, which are all freely available • Coverage of frequent data sample issues such as non-detects, outliers, skewness, sustained and cyclical trend that habitually plague environmental data samples • Clear demonstrations of the crucial, but often overlooked, role of statistics in environmental sampling design and subsequent exposure risk assessment.

Introductory Business Statistics (hardcover, Full Color)

Author : Alexander Holmes,Susan Dean,Barbara Illowsky
Publisher : Unknown
Page : 0 pages
File Size : 47,9 Mb
Release : 2023-06-30
Category : Electronic
ISBN : 1998109496

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Introductory Business Statistics (hardcover, Full Color) by Alexander Holmes,Susan Dean,Barbara Illowsky Pdf

Printed in color. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

Analysis of Variance Via Confidence Intervals

Author : K D Bird
Publisher : SAGE
Page : 244 pages
File Size : 47,8 Mb
Release : 2004-12-07
Category : Social Science
ISBN : 076196357X

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Analysis of Variance Via Confidence Intervals by K D Bird Pdf

Analysis of variance - ANOVA - constitutes the main set of statistical methods through which undergraduate and postgraduate students carry out multivariate analysis. This textbook adopts an innovative approach to ANOVA, placing emphasis on confidence intervals rather than tests of significance.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Author : Chester Ismay,Albert Y. Kim
Publisher : CRC Press
Page : 461 pages
File Size : 51,6 Mb
Release : 2019-12-23
Category : Mathematics
ISBN : 9781000763461

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by Chester Ismay,Albert Y. Kim Pdf

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Statistical modeling : a fresh approach

Author : Daniel Theodore Kaplan
Publisher : Unknown
Page : 388 pages
File Size : 40,9 Mb
Release : 2011
Category : Mathematical statistics
ISBN : 0983965870

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Statistical modeling : a fresh approach by Daniel Theodore Kaplan Pdf

"Statistical Modeling: A Fresh Approach introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce. It emphasizes the use of models to untangle and quantify variation in observed data. By a deft and concise use of computing coupled with an innovative geometrical presentation of the relationship among variables. A Fresh Approach reveals the logic of statistical inference and empowers the reader to use and understand techniques such as analysis of covariance that appear widely in published research but are hardly ever found in introductory texts."-- book cover

Statistics For Dummies

Author : Deborah J. Rumsey
Publisher : John Wiley & Sons
Page : 423 pages
File Size : 48,9 Mb
Release : 2016-06-07
Category : Mathematics
ISBN : 9781119293521

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Statistics For Dummies by Deborah J. Rumsey Pdf

The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

The Statistical Analysis of Interval-censored Failure Time Data

Author : Jianguo Sun
Publisher : Springer
Page : 304 pages
File Size : 55,7 Mb
Release : 2007-05-26
Category : Mathematics
ISBN : 9780387371191

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The Statistical Analysis of Interval-censored Failure Time Data by Jianguo Sun Pdf

This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.

Confidence Intervals in Generalized Regression Models

Author : Esa Uusipaikka
Publisher : CRC Press
Page : 328 pages
File Size : 55,8 Mb
Release : 2008-07-25
Category : Mathematics
ISBN : 9781420060386

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Confidence Intervals in Generalized Regression Models by Esa Uusipaikka Pdf

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data a

Statistical Methods

Author : Rudolf J. Freund,William J. Wilson
Publisher : Elsevier
Page : 694 pages
File Size : 48,9 Mb
Release : 2003-01-07
Category : Mathematics
ISBN : 9780080498225

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Statistical Methods by Rudolf J. Freund,William J. Wilson Pdf

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters