Topics In Applied Statistics PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Topics In Applied Statistics PDF full book. Access full book title Topics In Applied Statistics.

Topics in Applied Statistics

Topics in Applied Statistics
Author: Mingxiu Hu
Publisher: Springer Science & Business Media
Total Pages: 340
Release: 2013-09-14
Genre: Medical
ISBN: 1461478464
GET BOOK

Download Topics in Applied Statistics Book in PDF, ePub and Kindle

This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve the whole statistical community and a variety of research interests. The papers represent select contributions to the 21st ICSA Applied Statistics Symposium. The International Chinese Statistical Association (ICSA) Symposium took place between the 23rd and 26th of June, 2012 in Boston, Massachusetts. It was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA). This is the inaugural proceedings volume to share research from the ICSA Applied Statistics Symposium.

Topics in Theoretical and Applied Statistics

Topics in Theoretical and Applied Statistics
Author: Giorgio Alleva
Publisher: Springer
Total Pages: 306
Release: 2016-05-19
Genre: Mathematics
ISBN: 3319272748
GET BOOK

Download Topics in Theoretical and Applied Statistics Book in PDF, ePub and Kindle

This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.

Applied Statistical Methods

Applied Statistical Methods
Author: Irving W. Burr
Publisher: Elsevier
Total Pages: 500
Release: 2014-05-10
Genre: Mathematics
ISBN: 1483277860
GET BOOK

Download Applied Statistical Methods Book in PDF, ePub and Kindle

Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.

Learn R for Applied Statistics

Learn R for Applied Statistics
Author: Eric Goh Ming Hui
Publisher: Apress
Total Pages: 254
Release: 2018-11-30
Genre: Computers
ISBN: 1484242009
GET BOOK

Download Learn R for Applied Statistics Book in PDF, ePub and Kindle

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will LearnDiscover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.

Applied Statistics for Social and Management Sciences

Applied Statistics for Social and Management Sciences
Author: Abdul Quader Miah
Publisher: Springer
Total Pages: 447
Release: 2016-02-29
Genre: Social Science
ISBN: 9811004013
GET BOOK

Download Applied Statistics for Social and Management Sciences Book in PDF, ePub and Kindle

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.

Modern Applied Statistics with S-PLUS

Modern Applied Statistics with S-PLUS
Author: William N. Venables
Publisher: Springer Science & Business Media
Total Pages: 562
Release: 2013-11-11
Genre: Mathematics
ISBN: 1475727194
GET BOOK

Download Modern Applied Statistics with S-PLUS Book in PDF, ePub and Kindle

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 Using SPSS, STATISTICA and MATLAB

Applied Statistics Using SPSS, STATISTICA and MATLAB
Author: Joaquim P. Marques de Sá
Publisher: Springer Science & Business Media
Total Pages: 466
Release: 2013-03-09
Genre: Mathematics
ISBN: 3662058049
GET BOOK

Download Applied Statistics Using SPSS, STATISTICA and MATLAB Book in PDF, ePub and Kindle

Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.

Topics in Applied Statistics

Topics in Applied Statistics
Author: Robert Bohrer
Publisher:
Total Pages:
Release: 197?
Genre: Mathematical statistics
ISBN:
GET BOOK

Download Topics in Applied Statistics Book in PDF, ePub and Kindle

Applied Statistics and Multivariate Data Analysis for Business and Economics

Applied Statistics and Multivariate Data Analysis for Business and Economics
Author: Thomas Cleff
Publisher: Springer
Total Pages: 488
Release: 2019-07-10
Genre: Business & Economics
ISBN: 303017767X
GET BOOK

Download Applied Statistics and Multivariate Data Analysis for Business and Economics Book in PDF, ePub and Kindle

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.