Essentials Of Inferential Statistics

Author : Malcolm O. Asadoorian
Publisher : University Press of America
ISBN 13 : 9780761830306
Total Pages : 304 pages
Book Rating : 4.08/5 ( download)

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Download or read book Essentials of Inferential Statistics written by Malcolm O. Asadoorian and published by University Press of America. This book was released on 2005 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 9780521839716
Total Pages : 240 pages
Book Rating : 4.18/5 ( download)

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Download or read book Essentials of Statistical Inference written by G. A. Young and published by Cambridge University Press. This book was released on 2005-07-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 :
Total Pages : 221 pages
Book Rating : 4.08/5 ( download)

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Download or read book Essentials of Inferential Statistics written by Malcolm O. Asadoorian and published by . This book was released on 2002 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Newman Chintuwa Enyioko
Publisher : Eliva Press
ISBN 13 : 9781636481944
Total Pages : 286 pages
Book Rating : 4.49/5 ( download)

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Download or read book Essentials of Inferential Statistics written by Newman Chintuwa Enyioko and published by Eliva Press. This book was released on 2021-05-10 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Pradip Kumar Sahu
Publisher : Springer
ISBN 13 : 8132225147
Total Pages : 317 pages
Book Rating : 4.40/5 ( download)

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Download or read book Estimation and Inferential Statistics written by Pradip Kumar Sahu and published by Springer. This book was released on 2015-11-03 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : George Casella
Publisher : CRC Press
ISBN 13 : 1040024025
Total Pages : 1746 pages
Book Rating : 4.27/5 ( download)

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Download or read book Statistical Inference written by George Casella and published by CRC Press. This book was released on 2024-05-23 with total page 1746 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Michael J. Panik
Publisher : John Wiley & Sons
ISBN 13 : 1118309804
Total Pages : 294 pages
Book Rating : 4.03/5 ( download)

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Download or read book Statistical Inference written by Michael J. Panik and published by John Wiley & Sons. This book was released on 2012-06-06 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Stephen Bernstein
Publisher : McGraw Hill Professional
ISBN 13 : 9780070050235
Total Pages : 388 pages
Book Rating : 4.36/5 ( download)

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Download or read book Schaum's Outline of Elements of Statistics I: Descriptive Statistics and Probability written by Stephen Bernstein and published by McGraw Hill Professional. This book was released on 1999-01-21 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Sally A. Fincher
Publisher :
ISBN 13 : 1108756212
Total Pages : 924 pages
Book Rating : 4.11/5 ( download)

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Download or read book The Cambridge Handbook of Computing Education Research written by Sally A. Fincher and published by . This book was released on 2019-02-13 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.

Author : Nitis Mukhopadhyay
Publisher : CRC Press
ISBN 13 : 1420017403
Total Pages : 289 pages
Book Rating : 4.03/5 ( download)

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Download or read book Introductory Statistical Inference written by Nitis Mukhopadhyay and published by CRC Press. This book was released on 2006-02-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Statistical Inference develops the concepts and intricacies of statistical inference. With a review of probability concepts, this book discusses topics such as sufficiency, ancillarity, point estimation, minimum variance estimation, confidence intervals, multiple comparisons, and large-sample inference. It introduces techniques of two-stage sampling, fitting a straight line to data, tests of hypotheses, nonparametric methods, and the bootstrap method. It also features worked examples of statistical principles as well as exercises with hints. This text is suited for courses in probability and statistical inference at the upper-level undergraduate and graduate levels.