Estimation And Inferential Statistics
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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.
Estimation Inference And Specification Analysis
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Author : Halbert White
language : en
Publisher: Cambridge University Press
Release Date : 1996-06-28
Estimation Inference And Specification Analysis written by Halbert White 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 1996-06-28 with Business & Economics categories.
This book examines the consequences of misspecifications for the interpretation of likelihood-based methods of statistical estimation and interference. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated.
Statistical Inference
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Author : Sharmishtha Kulkarni Ph D
language : en
Publisher:
Release Date : 2020-11-11
Statistical Inference written by Sharmishtha Kulkarni Ph D and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-11 with categories.
The book provides an insight into elementary inferential statistical methodologies including point estimation, interval estimation, and parametric and nonparametric tests. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examplesThis book focuses on the meaning of statistical inference on point 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. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out practical examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form.This book offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the concepts of point estimation and properties of point estimation as unbiasedness, consistency, sufficiency, relative efficiency. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.KEY FEATURES1.Easy to understand, completely solved Problems of point estimation and its properties 2.Provides of clarification for number of steps in the proof of theorems and related results 3.Includes numerous solved examples to illustrate the application of theorems and results4.It improves the analytical insights of respondentsEvery concept is supported with relevant research examples to help readers to find the most suitable application
Research Decisions And Estimation With Confidence And Power
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Author : L E MacCarter
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2021-07-19
Research Decisions And Estimation With Confidence And Power written by L E MacCarter and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with categories.
Research Decisions and Estimation with Confidence and Power: This book is about research with an emphasis on inference, sample size, confidence intervals, and a rational approach to power, offered at an affordable price for students everywhere. It explores current controversies in inferential statistics. It deals with sample size estimation for a wide variety of experimental situations. An updated general statistics text/reference that emphasizes the latest approaches to a priori sample size and power Can be used as a text for majors or non-majors in statistics, as a curriculum for any level of statistical training, or as a reference for researchers 560+ pages at a price researchers and students anywhere can afford New material researched from classical and recent literature (extensive citations and index) Avoids the use of the unfortunately common "large," "medium," and "small," which has been discredited for decades, including by the tacit admission of its author, Cohen (1988, p25) Discusses ways to avoid pitfalls due to the lack of robustness of the ANOVA, the fact that data is almost never normal etc.
Order Statistics Inference
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Author : N. Balakrishnan
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Order Statistics Inference written by N. Balakrishnan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Mathematics categories.
The literature on order statistics and inferenc eis quite extensive and covers a large number of fields ,but most of it is dispersed throughout numerous publications. This volume is the consolidtion of the most important results and places an emphasis on estimation. Both theoretical and computational procedures are presented to meet the needs of researchers, professionals, and students. The methods of estimation discussed are well-illustrated with numerous practical examples from both the physical and life sciences, including sociology,psychology,a nd electrical and chemical engineering. A complete, comprehensive bibliography is included so the book can be used both aas a text and reference.
Essential Statistical Inference
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Author : Dennis D. Boos
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-02-06
Essential Statistical Inference written by Dennis D. Boos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-06 with Mathematics categories.
This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems. An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology. Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.
Introduction To The New Statistics
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Author : GEOFF. CALIN-JAGEMAN CUMMING (ROBERT.)
language : en
Publisher:
Release Date : 2024
Introduction To The New Statistics written by GEOFF. CALIN-JAGEMAN CUMMING (ROBERT.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Inferential Statistics
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Author : Kamala Singh Kushwaha
language : en
Publisher:
Release Date : 2016
Inferential Statistics written by Kamala Singh Kushwaha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Introduction To Probabilistic And Statistical Methods With Examples In R
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Author : Katarzyna Stapor
language : en
Publisher: Springer Nature
Release Date : 2020-05-22
Introduction To Probabilistic And Statistical Methods With Examples In R written by Katarzyna Stapor and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Mathematics categories.
This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.
The Theory Of Statistical Inference
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Author : Shelemyahu Zacks
language : en
Publisher: John Wiley & Sons
Release Date : 1971
The Theory Of Statistical Inference written by Shelemyahu Zacks 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 1971 with Mathematical statistics categories.
Synopsis; Sufficient statistics; Unbiased estimation; The efficiency of estimators under quadratic loss; Maximum likelihood estimation; Bayes and minimax estimation; Equivariant estimators; Admissibility of estimators; Confidence and tolerance intervals.