Applied Statistics

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Applied Statistics

Author : Dieter Rasch,Rob Verdooren,Jürgen Pilz
Publisher : John Wiley & Sons
Page : 512 pages
File Size : 47,8 Mb
Release : 2019-07-30
Category : Mathematics
ISBN : 9781119551553

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Applied Statistics by Dieter Rasch,Rob Verdooren,Jürgen Pilz Pdf

Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

Applied Statistics for Engineers and Scientists

Author : Jay L. Devore,Nicholas R. Farnum,Jimmy A. Doi
Publisher : Cengage Learning
Page : 0 pages
File Size : 45,7 Mb
Release : 2013-08-08
Category : Mathematics
ISBN : 113311136X

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Applied Statistics for Engineers and Scientists by Jay L. Devore,Nicholas R. Farnum,Jimmy A. Doi Pdf

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Applied Statistics: From Bivariate Through Multivariate Techniques

Author : Rebecca M. Warner
Publisher : SAGE
Page : 1209 pages
File Size : 54,5 Mb
Release : 2013
Category : Mathematics
ISBN : 9781412991346

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Applied Statistics: From Bivariate Through Multivariate Techniques by Rebecca M. Warner Pdf

Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

Modern Applied Statistics with S-PLUS

Author : William N. Venables,Brian D. Ripley
Publisher : Springer Science & Business Media
Page : 562 pages
File Size : 55,7 Mb
Release : 2013-11-11
Category : Mathematics
ISBN : 9781475727197

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Modern Applied Statistics with S-PLUS by William N. Venables,Brian D. Ripley Pdf

A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.

Applied Statistics I

Author : Rebecca M. Warner
Publisher : SAGE Publications
Page : 736 pages
File Size : 45,8 Mb
Release : 2020-01-14
Category : Social Science
ISBN : 9781506352824

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Applied Statistics I by Rebecca M. Warner Pdf

Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book. The author′s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website. Bundle and Save Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I Bundle ISBN: 978-1-0718-1325-6

Applied Statistics and the SAS Programming Language

Author : Ronald P. Cody,Jeffrey K. Smith
Publisher : Unknown
Page : 432 pages
File Size : 54,8 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015058318893

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Applied Statistics and the SAS Programming Language by Ronald P. Cody,Jeffrey K. Smith Pdf

Applied Statistics for Engineers and Physical Scientists

Author : Robert V. Hogg,Johannes Ledolter
Publisher : Prentice Hall
Page : 504 pages
File Size : 55,8 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015025277420

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Applied Statistics for Engineers and Physical Scientists by Robert V. Hogg,Johannes Ledolter Pdf

"Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics." provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments. provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots. explores principles of probability, probability distributions, and sampling distribution theory. discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs.

Applied Statistics for Business and Management using Microsoft Excel

Author : Linda Herkenhoff,John Fogli
Publisher : Springer Science & Business Media
Page : 417 pages
File Size : 46,6 Mb
Release : 2013-11-26
Category : Computers
ISBN : 9781461484233

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Applied Statistics for Business and Management using Microsoft Excel by Linda Herkenhoff,John Fogli Pdf

Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

Applied Statistics Using R

Author : Mehmet Mehmetoglu,Matthias Mittner
Publisher : SAGE
Page : 465 pages
File Size : 41,5 Mb
Release : 2021-11-10
Category : Social Science
ISBN : 9781529766141

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Applied Statistics Using R by Mehmet Mehmetoglu,Matthias Mittner Pdf

If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.

Applied Statistics in Agricultural, Biological, and Environmental Sciences

Author : Barry Glaz,Kathleen M. Yeater
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 42,9 Mb
Release : 2020-01-22
Category : Technology & Engineering
ISBN : 9780891183594

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Applied Statistics in Agricultural, Biological, and Environmental Sciences by Barry Glaz,Kathleen M. Yeater Pdf

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Applied Statistics Using Stata

Author : Mehmet Mehmetoglu,Tor Georg Jakobsen
Publisher : SAGE
Page : 421 pages
File Size : 49,6 Mb
Release : 2022-04-26
Category : Social Science
ISBN : 9781529788464

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Applied Statistics Using Stata by Mehmet Mehmetoglu,Tor Georg Jakobsen Pdf

Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis.

Applied Statistics and DOE

Author : Mehmet Ali Arslan
Publisher : Unknown
Page : 128 pages
File Size : 54,7 Mb
Release : 2021-07-05
Category : Electronic
ISBN : 0999200518

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Applied Statistics and DOE by Mehmet Ali Arslan Pdf

The first edition of Applied Statistics and DOE is truly an exceptional book, emphasizing coverage on the main subjects of statistics with hands-on application content including; collection/presentation of data, descriptive/inferential statistics in analyzing the data, input/output causal transfer function building with regression analysis, statistical process control(SPC) through control charts and process capability analysis. Further, the textbook gives an excellent insight about Design of Experiments(DOE) and introduces OFAT, factorial and Taguchi designs in comparative detail. The textbook is specially written for the use of all levels of students from different backgrounds and also designed to equip them with every day use of hands-on knowledge and experience in handling numerous statistical and DOE problems.

Applied Statistics Manual

Author : Matthew A. Barsalou,Joel Smith
Publisher : Quality Press
Page : 376 pages
File Size : 46,8 Mb
Release : 2018-12-19
Category : Education
ISBN : 9780873899758

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Applied Statistics Manual by Matthew A. Barsalou,Joel Smith Pdf

This book was written to provide guidance for those who need to apply statistical methods for practical use. While the book provides detailed guidance on the use of Minitab for calculation, simply entering data into a software program is not sufficient to reliably gain knowledge from data. The software will provide an answer, but the answer may be wrong if the sample was not taken properly, the data was unsuitable for the statistical test that was performed, or the wrong test was selected. It is also possible that the answer will be correct, but misinterpreted. This book provides both guidance in applying the statistical methods described as well as instructions for performing calculations without a statistical software program such as Minitab. One of the authors is a professional statistician who spent nearly 13 years working at Minitab and the other is an experienced and certified Lean Six Sigma Master Black Belt. Together, they strive to present the knowledge of a statistician in a format that can be easily understood and applied by non-statisticians facing real-world problems. Their guidance is provided with the goal of making data analysis accessible and practical. Rather than focusing on theoretical concepts, the book delivers only the information that is critical to success for the practitioner. It is a thorough guide for those who have not yet been exposed to the value of statistics, as well as a reliable reference for those who have been introduced to statistics but are not yet confident in their abilities.

Applied Statistics for the Social and Health Sciences

Author : Rachel A. Gordon
Publisher : Taylor & Francis
Page : 800 pages
File Size : 42,5 Mb
Release : 2023-11-15
Category : Social Science
ISBN : 9781000894738

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Applied Statistics for the Social and Health Sciences by Rachel A. Gordon Pdf

For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

Principles of Applied Statistics

Author : D. R. Cox,Christl A. Donnelly
Publisher : Cambridge University Press
Page : 213 pages
File Size : 53,7 Mb
Release : 2011-07-28
Category : Mathematics
ISBN : 9781139503549

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Principles of Applied Statistics by D. R. Cox,Christl A. Donnelly Pdf

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.