Inferential Statistics

Author : Pradip Kumar Sahu,Santi Ranjan Pal,Ajit Kumar Das
Publisher : Springer
Page : 317 pages
File Size : 40,5 Mb
Release : 2015-11-03
Category : Mathematics
ISBN : 9788132225140

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Estimation and Inferential Statistics by Pradip Kumar Sahu,Santi Ranjan Pal,Ajit Kumar Das Pdf

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 : Malcolm O. Asadoorian,Demetrius Kantarelis
Publisher : University Press of America
Page : 304 pages
File Size : 50,8 Mb
Release : 2005
Category : Business & Economics
ISBN : 0761830308

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Essentials of Inferential Statistics by Malcolm O. Asadoorian,Demetrius Kantarelis Pdf

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 : Sarah Boslaugh
Publisher : "O'Reilly Media, Inc."
Page : 595 pages
File Size : 44,8 Mb
Release : 2012-11-15
Category : Computers
ISBN : 9781449316822

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Statistics in a Nutshell by Sarah Boslaugh Pdf

A clear and concise introduction and reference for anyone new to the subject of statistics.

Author : K.S. Kushwaha
Publisher : New India Publishing Agency
Page : 7 pages
File Size : 55,5 Mb
Release : 2016-10-18
Category : Social Science
ISBN : 9789385516443

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Inferential Statistics by K.S. Kushwaha Pdf

The book entitled “Inferential Statistics” has been designed for all P.G. and Ph.D. students of “Pure Statistics” and Agricultural Statistics and for those who have to appear in competitive examinations of I.S.S., I.E.S., state’s PS.C and IAS. This book is also useful for faculties of “Department of Statistics” of all universities. The book is the outcome of 30 years of teaching experience of U.G., P.G. and Ph.D. students of different disciplines of Agriculture, Agril. Engg. and Agril Statistics in J.N.K.V.V., Jabalpur. The content of the book covers the syllabus on the topic “Statistical Inference.” The book contains 9 chapters out of which Chapters (1-2) deals with the “Point Estimation”, (3) Interval estimation, (4-5) Test of hypothesis, (6) Sequential statistics, (7) Decision theory, (8) Linear estimation and (9) Theory of ordered statistics.

Author : Markus Janczyk,Roland Pfister
Publisher : Springer Nature
Page : 211 pages
File Size : 55,7 Mb
Release : 2023-11-25
Category : Medical
ISBN : 9783662667866

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Understanding Inferential Statistics by Markus Janczyk,Roland Pfister Pdf

What does this p-value actually mean? And what is a significant result? This book provides a compact and comprehension-oriented introduction to inferential statistics and answers questions like these. One focus is on the logic underlying inferential statistics and hypothesis testing: Readers learn the most commonly used procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) as well as the pitfalls of data analysis, and develop the understanding necessary to interpret results correctly. The individual chapters are supplemented by concrete evaluation examples from everyday research - including exemplary implementation with the programs SPSS and R. In addition to the classic methods, cross-references to current developments in psychological methodological research are also included.This book is a translation of the original German 3rd edition of Inferenzstatistik verstehen by Markus Janczyk and Roland Pfister. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Author : Chester Ismay,Albert Y. Kim
Publisher : CRC Press
Page : 461 pages
File Size : 51,7 Mb
Release : 2019-12-23
Category : Mathematics
ISBN : 9781000763461

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by Chester Ismay,Albert Y. Kim Pdf

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Author : Michael J. Panik
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 44,6 Mb
Release : 2012-06-06
Category : Mathematics
ISBN : 9781118309803

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Statistical Inference by Michael J. Panik Pdf

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 : George Casella,Roger Berger
Publisher : CRC Press
Page : 1746 pages
File Size : 51,9 Mb
Release : 2024-05-23
Category : Mathematics
ISBN : 9781040024027

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Statistical Inference by George Casella,Roger Berger Pdf

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 : Mercedes Orœs Lacort
Publisher : Lulu.com
Page : 187 pages
File Size : 54,8 Mb
Release : 2014-05-22
Category : Technology & Engineering
ISBN : 9781291885385

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Descriptive and Inferential Statistics - Summaries of theory and Exercises solved by Mercedes Orœs Lacort Pdf

Descriptive and Inferential Statistics, is a book that is intended for university students of any college. You'll find theory as summaries, and exercises solved, on the following topics: Descriptive Statistics, Confidence Intervals and Test Hypothesis for means, proportions and variances for one sample, Chi Square Test, Test Hypothesis for means, proportions and variances, for two or more samples, and Regression line. Statistical software such as SPSS, Minitab, programs have been used in the resolution of problems and in some cases have been resolved by using the Excel and also manually.

Author : Sharon Lawner Weinberg,Sarah Knapp Abramowitz
Publisher : Cambridge University Press
Page : 13 pages
File Size : 45,6 Mb
Release : 2008-03-03
Category : Mathematics
ISBN : 9780521899222

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Statistics Using SPSS by Sharon Lawner Weinberg,Sarah Knapp Abramowitz Pdf

Applied statistics text updated to be consistent with SPSS version 15, ideal for classroom use or self study.

Author : Sally A. Fincher,Anthony V. Robins
Publisher : Unknown
Page : 924 pages
File Size : 41,6 Mb
Release : 2019-02-13
Category : Computers
ISBN : 9781108756211

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The Cambridge Handbook of Computing Education Research by Sally A. Fincher,Anthony V. Robins Pdf

This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.

Author : Rachad Antonius
Publisher : SAGE
Page : 338 pages
File Size : 47,6 Mb
Release : 2003-01-22
Category : Computers
ISBN : 0761973990

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Interpreting Quantitative Data with SPSS by Rachad Antonius Pdf

This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.

Author : Vandana Bagla
Publisher : Createspace Independent Publishing Platform
Page : 130 pages
File Size : 42,9 Mb
Release : 2018-02-23
Category : Electronic
ISBN : 1985694700

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Inferential Statistics by Vandana Bagla Pdf

It is my pleasure to present the first edition of the book titled 'Inferential Statistics'. The book provides an insight into elementary inferential statistical methodologies including probability and sampling techniques. The content elaborates statistical methods that are significantly useful in science and engineering undergraduate courses; engrossing basic concepts and applications of statistical techniques in scientific, research and industrial applications. With this first edition, I have tried to meet the expectations of the students by explaining the text and related theory right from the elementary level. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examples. Practicing students and budding scientists will find it pragmatic in research related application problems. Level of the book has been kept moderately rudimentary and plain sailed to provide its' readers with lucidity and perceptibility. An exuberant attempt has been made for the students to comprehend and develop an envision for the concepts exemplified. It is hoped that this book would be determinedly advantageous to the tutees and prove to be serviceable.

Author : Richard P. Runyon
Publisher : Addison Wesley Publishing Company
Page : 198 pages
File Size : 42,5 Mb
Release : 1977
Category : Mathematics
ISBN : UOM:39015015725974

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Inferential Statistics by Richard P. Runyon Pdf

Author : Nitis Mukhopadhyay
Publisher : CRC Press
Page : 289 pages
File Size : 46,6 Mb
Release : 2006-02-07
Category : Mathematics
ISBN : 9781420017403

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Introductory Statistical Inference by Nitis Mukhopadhyay Pdf

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.