Essentials of Inferential 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 Essentials of Inferential Statistics PDF full book. Access full book title Essentials of Inferential Statistics by Malcolm O. Asadoorian. Download full books in PDF and EPUB format.
Author: Malcolm O. Asadoorian
Publisher: University Press of America
ISBN: 9780761830306
Category : Business & Economics
Languages : en
Pages : 304
Get Book Here
Book Description
Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts. After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this laconically written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals, and hypothesis testing for major population parameters, namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the basics of correlation and simple linear regression as well as non-parametric statistics.
Author: Malcolm O. Asadoorian
Publisher: University Press of America
ISBN: 9780761830306
Category : Business & Economics
Languages : en
Pages : 304
Get Book Here
Book Description
Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts. After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this laconically written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals, and hypothesis testing for major population parameters, namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the basics of correlation and simple linear regression as well as non-parametric statistics.
Author: G. A. Young
Publisher: Cambridge University Press
ISBN: 9780521839716
Category : Mathematics
Languages : en
Pages : 240
Get Book Here
Book Description
Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on computational topics with basic mathematical theory.
Author: Malcolm O. Asadoorian
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 221
Get Book Here
Book Description
Author: Newman Chintuwa Enyioko
Publisher: Eliva Press
ISBN: 9781636481944
Category :
Languages : en
Pages : 286
Get Book Here
Book Description
This work is a result of the experience of the authors in teaching and research work for more than 20 years. The wider scope and coverage of the book will help not only the students, researchers and professionals in the field of statistics but also several others in various allied disciplines. All efforts have been made to present the "inferential statistics", its meaning, intention and usefulness. This book reflects current methodological techniques used in interdisciplinary research, as illustrated with many relevant examples. Statistical tools have been presented in such a manner, with the help of real-life examples, that the fear factor about the otherwise complicated subject of statistics will vanish. In its eight chapters, theories followed by examples have been presented to the readers to find most suitable applications. This book is an ideal introduction to statistical learning in an academic context for students at both undergraduate and postgraduate level and will be a must-have for anyone doing a course in statistics. The book covers such topics as: Decision Analysis, Sampling Theory and Survey Methods, Statistical Estimation Theory, Test of Hypotheses, Simple Linear Regression and Correlation Analysis, Analysis of Variance (ANNOVA), Time Series, Index Numbers, Correlations and Partial Correlations, Time Series, and Multiple Regression Analysis.
Author: George Casella
Publisher: CRC Press
ISBN: 1040024025
Category : Mathematics
Languages : en
Pages : 1746
Get Book Here
Book Description
This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Author: Stephen Bernstein
Publisher: McGraw Hill Professional
ISBN: 9780070050235
Category : Juvenile Nonfiction
Languages : en
Pages : 388
Get Book Here
Book Description
Schaum's Outlines give you the information your teachers expect you to know in a handy and succinct format - without overwhelming you with unnecessary detail.
Author: Pradip Kumar Sahu
Publisher: Springer
ISBN: 8132225147
Category : Mathematics
Languages : en
Pages : 335
Get Book Here
Book Description
This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical, social and other disciplines. It discusses current methodological techniques used in statistics and related interdisciplinary areas. Every concept is supported with relevant research examples to help readers to find the most suitable application. Statistical tools have been presented by using real-life examples, removing the “fear factor” usually associated with this complex subject. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form.
Author: Michael J. Panik
Publisher: John Wiley & Sons
ISBN: 1118309804
Category : Mathematics
Languages : en
Pages : 294
Get Book Here
Book Description
A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including: How do we determine that a given dataset is actually a random sample? With what level of precision and reliability can a population sample be estimated? How are probabilities determined and are they the same thing as odds? How can we predict the level of one variable from that of another? What is the strength of the relationship between two variables? The book is organized to present fundamental statistical concepts first, with later chapters exploring more advanced topics and additional statistical tests such as Distributional Hypotheses, Multinomial Chi-Square Statistics, and the Chi-Square Distribution. Each chapter includes appendices and exercises, allowing readers to test their comprehension of the presented material. Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.
Author: Sue L. T. McGregor
Publisher: SAGE Publications
ISBN: 1506350976
Category : Social Science
Languages : en
Pages : 880
Get Book Here
Book Description
Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.
Author: K. Paul Nesselroade, Jr.
Publisher: John Wiley & Sons
ISBN: 1394184115
Category : Social Science
Languages : en
Pages : 629
Get Book Here
Book Description
Comprehensive resource on applying statistical analyses to behavioral and social science research situations, with new examples, methods, and support for computing in Excel and SPSS The Third Edition of Essentials of Behavioral and Social Science Statistics prompts the student to develop a deep understanding of the psychometric principles involved in the research process, as well as a mastery of the particular functionality of the most common statistical tools and an ability to properly select and use them in the real world; this goal is achieved thanks to the organization of the text, the philosophical content interspersed within it, the depth of the exercises and work problems, and the supporting materials provided for the instructor and student. The Third Edition has been thoroughly edited and streamlined to allow for students to move efficiently through the conceptual and mathematical fundamentals and on to the payoff formulas and descriptions of applications. New content includes philosophical issues associated with psychometrics and inferential statistical testing, interpretation, measurement, and the replication crisis in the social sciences. End-of-chapter exercises and work problems have been strengthened and reorganized to further improve comprehension and performance. Section reviews that draw on concepts from all preceding chapters are included to help students develop skills of statistical tool selection and application. Support for instructors includes chapter-based learning objectives, test banks, and PowerPoints. Essentials of Behavioral and Social Science Statistics includes information on: Basic concepts in research covering the scientific method, types of variables, controlling extraneous variables, validity issues, and causality and correlation Descriptive statistics including scales of measurement, measures of central tendency and variability, transformations, and standardized scores The fundamentals of inferential statistics, including probability theory, sampling distributions, the central limit theorem, and the terminology of hypothesis testing The logic and application of basic inferential tests including single-sample tests, independent-and dependent-samples t tests, and the basics of power analysis The logic and application of three common ANOVA analyses; one-way, two-way, and repeated-measures The logic and application of basic bivariate data analysis tools, linear correlation and linear regression The logic and application of chi-square analyses, both goodness-of-fit and tests-for-independence Written to facilitate concept mastery and enable practical application of concepts, Essentials of Behavioral and Social Science Statistics offers a survey of basic descriptive and inferential statistical tools and concepts and is highly suitable to support a rigorous undergraduate behavioral science or social science statistics course.
