› › Focus On Applied Statistics

Focus on Applied Statistics

Author : Mohammad Ahsanullah

Publisher : Nova Publishers

Page : 230 pages

File Size : 24,94 MB

Release : 2003

Category : Mathematics

ISBN : 9781590339114

Get eBook

Book Description

Mathematicians and statisticians from North America, Europe, Asia, and the Middle East synthesize the recent literature on statistical methods. Their topics include a family of estimators for the coefficient of determination in linear regression models, the quasi- random sequences in the random processes modeling algorithms, locating a change point in a Gaussian model when an outlier is present, the classical and Bayesian reliability estimation of the negative binomial distribution, a shrinkage estimation of the exponential reliability with censored data, and optimal equivariant vector prediction in location families. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).



Principles of Applied Statistics

Author : D. R. Cox

Publisher : Cambridge University Press

Page : 213 pages

File Size : 45,96 MB

Release : 2011-07-28

Category : Mathematics

ISBN : 1139503545

Get eBook

Book Description

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.



Applied Statistics - Principles and Examples

Author : D.R. Cox

Publisher : Routledge

Page : 202 pages

File Size : 21,52 MB

Release : 2018-02-19

Category : Mathematics

ISBN : 1351465791

Get eBook

Book Description

This book should be of interest to senior undergraduate and postgraduate students of applied statistics.



Applied Statistics for Public Policy

Author : Brian P. Macfie

Publisher : Routledge

Page : 555 pages

File Size : 36,37 MB

Release : 2017-07-28

Category : Business & Economics

ISBN : 1317363531

Get eBook

Book Description

This practical text provides students with the statistical tools needed to analyze data, and shows how statistics can be used as a tool in making informed, intelligent policy decisions. The authors' approach helps students learn what statistical measures mean and focus on interpreting results, as opposed to memorizing and applying dozens of statistical formulae. The book includes more than 500 end-of-chapter problems, solvable with the easy-to-use Excel spreadsheet application developed by the authors. This template allows students to enter numbers into the appropriate sheet, sit back, and analyze the data. This comprehensive, hands-on textbook requires only a background in high school algebra and has been thoroughly classroom-tested in both undergraduate and graduate level courses. No prior expertise with Excel is required. A disk with the Excel template and the data sets is included with the book, and solutions to the end-of-chapter problems will be provided on the M.E. Sharpe website.



Applied Statistics for Social and Management Sciences

Author : Abdul Quader Miah

Publisher : Springer

Page : 447 pages

File Size : 14,62 MB

Release : 2016-02-29

Category : Social Science

ISBN : 9811004013

Get eBook

Book Description

This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences.



Applied Statistics for Economists

Author : Margaret Lewis

Publisher : Routledge

Page : 466 pages

File Size : 16,39 MB

Release : 2012-11-12

Category : Business & Economics

ISBN : 1136668705

Get eBook

Book Description

This book is an undergraduate text that introduces students to commonly-used statistical methods in economics. Using examples based on contemporary economic issues and readily-available data, it not only explains the mechanics of the various methods, it also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.



APPLIED STATISTICS CONCEPTS FOR COUNSELORS

Author : Geoffrey W Sutton

Publisher : Sunflower

Page : 198 pages

File Size : 39,44 MB

Release : 2019-12-31

Category : Psychology

ISBN :

Get eBook

Book Description

Increase competency while building confidence in reading statistics and discussing test scores. This book focuses on statistical literacy for counselors and psychotherapists. You will find a review of basic statistical concepts explained with examples from counseling practice and research. Applied Statistics is for all human service professionals (and students) involved in counseling, interviewing, and assessment. Key Features · How statistics function in counseling research and practice · Easy to read explanations of basic stats like measurement, averages, correlations · Simple descriptions of statistical tests like t tests, ANOVA, chi square · Important review of test score reliability and validity · Includes an extensive glossary · Practice with answers · Links to online resources What Reviewers Say About Applied Statistics Even though I completed multiple graduate level statistics courses, I benefitted from the simple and straight forward content of this text. Practice tests at the end of chapters helps assess learning and application. This is a great refresher resource for counselors and beginning graduate students. Christine Arnzen, Ph.D., LPC, Associate Professor, Evangel University; Coordinator, Graduate Counseling Programs



Applied Statistics I

Author : Rebecca M. Warner

Publisher : SAGE Publications

Page : 649 pages

File Size : 16,10 MB

Release : 2020-01-14

Category : Psychology

ISBN : 1506352790

Get eBook

Book Description

Applied Statistics I: Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques. The author's contemporary approach differs from some of the well-worn texts in the market, and reflects current thinking in the field. It spends less time on statistical significance testing, and moves in the direction of the "new statistics" by focusing more on confidence intervals and effect size. Instructors of upper undergraduate or beginning graduate level courses will find that the greater focus on basic concepts such as partition of variance and effect size is more useful to students, particularly as preparation for more advanced courses. Spending less time on statistical significance testing allows for more time to be devoted to more interesting and useful statistics that students will see in journal articles (such as correlation and regression). This introductory statistics text includes examples in SPSS, together with datasets on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.



Applied Statistical Considerations for Clinical Researchers

Author : David Culliford

Publisher : Springer Nature

Page : 249 pages

File Size : 26,60 MB

Release : 2021-11-18

Category : Medical

ISBN : 3030874109

Get eBook

Book Description

This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice. Applied Statistical Considerations for Clinical Researchers focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.



Beyond ANOVA

Author : Rupert G. Miller, Jr.

Publisher : CRC Press

Page : 340 pages

File Size : 11,16 MB

Release : 1997-01-01

Category : Mathematics

ISBN : 9780412070112

Get eBook

Book Description

Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of "real world data," Miller's text goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA to empirical Bayes methods; the jackknife, bootstrap methods; and the James-Stein estimator. This reissue of Miller's classic book has been revised by professors at Stanford University, California. As before, one of the main strengths of Beyond ANOVA is its promotion of the use of the most straightforward data analysis methods-giving students a viable option, instead of resorting to complicated and unnecessary tests. Assuming a basic background in statistics, Beyond ANOVA is written for undergraduates and graduate statistics students. Its approach will also be valued by biologists, social scientists, engineers, and anyone who may wish to handle their own data analysis.