Essentials Of Inferential Statistics
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Essentials Of Inferential Statistics
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Author : Malcolm O. Asadoorian
language : en
Publisher: University Press of America
Release Date : 2005
Essentials Of Inferential Statistics written by Malcolm O. Asadoorian and has been published by University Press of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Business & Economics categories.
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.
Essentials Of Inferential Statistics
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Author : Newman Chintuwa Enyioko
language : en
Publisher: Eliva Press
Release Date : 2021-05-10
Essentials Of Inferential Statistics written by Newman Chintuwa Enyioko and has been published by Eliva Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with categories.
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.
Essentials Of Inferential Statistics
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Author : Malcolm O. Asadoorian
language : en
Publisher:
Release Date : 2002
Essentials Of Inferential Statistics written by Malcolm O. Asadoorian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematical statistics categories.
Essentials Of Statistical Inference
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Author : G. A. Young
language : en
Publisher: Cambridge University Press
Release Date : 2005-07-25
Essentials Of Statistical Inference written by G. A. Young and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-25 with Mathematics categories.
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.
Fundamentals Of Mathematical Statistics
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Author : Hung T. Nguyen
language : en
Publisher: Springer
Release Date : 1989-07-25
Fundamentals Of Mathematical Statistics written by Hung T. Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-07-25 with Mathematics categories.
This is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior/Graduate level. The two main pedagogical aspects in these Volumes are: (i) the material is designed in lessons (each for a 50 minute class) with complementary exercises and home work. (ii) although the material is traditional, great care is exerted upon self-contained, rigorous and complete presentations. An elementary introduction to characteristic functions and probability measures and intergration, but not general measure theory in Volume I, allows a complete proof of some central limit theorems and a rigorous treatment of asymptotic of statistical inference. But students need to be familiar only with such things as Jacobians and eigenvalues of matrices. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.
Estimation And Inferential Statistics
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Author : Pradip Kumar Sahu
language : en
Publisher: Springer
Release Date : 2015-11-03
Estimation And Inferential Statistics written by Pradip Kumar Sahu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-03 with Mathematics categories.
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.
Fundamentals Of Descriptive Statistics
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Author : Zealure C. Holcomb
language : en
Publisher: Routledge
Release Date : 1998
Fundamentals Of Descriptive Statistics written by Zealure C. Holcomb and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Statistics categories.
Appendix B Computational Formula for the Standard Deviation -- Appendix C Computational Formula for the Pearson r -- Index
Essentials Of Statistical Inference
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Author : G. A. Young
language : en
Publisher: Cambridge University Press
Release Date : 2005-07-25
Essentials Of Statistical Inference written by G. A. Young and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-25 with Mathematics categories.
Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well as basic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such as MCMC, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems.
Statistical Inference
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Author : Michael J. Panik
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-06
Statistical Inference written by Michael J. Panik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-06 with Mathematics categories.
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.
Ibm Spss Essentials
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Author : John T. Kulas
language : en
Publisher: John Wiley & Sons
Release Date : 2021-03-11
Ibm Spss Essentials written by John T. Kulas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-11 with Computers categories.
Master the fundamentals of SPSS with this newly updated and instructive resource The newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data. The book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities. SPSS Essentials offers a wide variety of features, including: A revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes An explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with Additional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information A companion website offering additional problem sets, complete with answers Perfect for undergraduate students of the social sciences who are just getting started with SPSS, SPSS Essentials also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.