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.
Inferential Statistics
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-08
Inferential Statistics written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Science categories.
In the realm of data analysis, inferential statistics emerges as a guiding light, illuminating the path from limited observations to broader truths about the world around us. This comprehensive and engaging book invites you on an intellectual journey through the captivating world of statistical inference, empowering you to make informed decisions, draw meaningful conclusions, and uncover hidden patterns in the vast ocean of information that surrounds us. As you delve into the pages of this book, you will embark on an exploration of the fundamental concepts and diverse applications of inferential statistics. You will discover the power of probability distributions, the art of hypothesis testing, and the elegance of estimation techniques. Along the way, you will encounter the giants of statistical thought, from frequentists to Bayesians, and witness the evolution of statistical methods over time. Unravel the Mysteries of Statistical Inference Begin your journey with an exploration of the very essence of inferential statistics, delving into its core principles and uncovering the philosophical underpinnings that guide its practice. Embark on a comparative voyage, contrasting the frequentist and Bayesian approaches to statistical inference, highlighting their strengths and limitations, and exploring the scenarios where each approach shines. Master the Art of Hypothesis Testing and Estimation Confront the thrilling quest of hypothesis testing, the process of making inferences about a population based on sample data. Confront Type I and Type II errors, the perils of statistical inference, and learn to navigate the delicate balance between rejecting false null hypotheses and avoiding false positives. Discover the art of estimation, the process of using sample data to estimate population parameters, and harness the power of confidence intervals, the statistical fences that capture the true population parameter with a specified level of confidence. Uncover the Secrets of Correlation and Regression Venture into the captivating world of correlation and regression, where you will uncover the secrets of linear relationships between variables. Learn to measure the strength of these relationships using correlation coefficients, construct linear regression models to predict one variable from another, and navigate the complexities of multiple regression, where multiple variables dance together in a statistical tango. Explore the Frontiers of Experimental Design and Advanced Techniques Journey to the frontiers of experimental design, where you will learn the art of crafting studies that yield reliable and meaningful data. Explore the principles of randomization and replication, ensuring the validity and reliability of your findings, and delve into the intricacies of sample size determination, balancing the need for precision with the constraints of time and resources. "Inferential Statistics: Unveiling Truths from Data" is your trusted guide to the captivating world of statistical inference. With its clear explanations, engaging examples, and thought-provoking exercises, this book will empower you to make sense of data, uncover hidden truths, and make informed decisions in an increasingly data-driven world. If you like this book, write a review!
Fundamentals Of Statistical Inference
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Author : Norbert Hirschauer
language : en
Publisher: Springer Nature
Release Date : 2022-08-18
Fundamentals Of Statistical Inference written by Norbert Hirschauer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-18 with Mathematics categories.
This book provides a coherent description of foundational matters concerning statistical inference and shows how statistics can help us make inductive inferences about a broader context, based only on a limited dataset such as a random sample drawn from a larger population. By relating those basics to the methodological debate about inferential errors associated with p-values and statistical significance testing, readers are provided with a clear grasp of what statistical inference presupposes, and what it can and cannot do. To facilitate intuition, the representations throughout the book are as non-technical as possible. The central inspiration behind the text comes from the scientific debate about good statistical practices and the replication crisis. Calls for statistical reform include an unprecedented methodological warning from the American Statistical Association in 2016, a special issue “Statistical Inference in the 21st Century: A World Beyond p 0.05” of iThe American StatisticianNature in 2019. The book elucidates the probabilistic foundations and the potential of sample-based inferences, including random data generation, effect size estimation, and the assessment of estimation uncertainty caused by random error. Based on a thorough understanding of those basics, it then describes the p-value concept and the null-hypothesis-significance-testing ritual, and finally points out the ensuing inferential errors. This provides readers with the competence to avoid ill-guided statistical routines and misinterpretations of statistical quantities in the future. Intended for readers with an interest in understanding the role of statistical inference, the book provides a prudent assessment of the knowledge gain that can be obtained from a particular set of data under consideration of the uncertainty caused by random error. More particularly, it offers an accessible resource for graduate students as well as statistical practitioners who have a basic knowledge of statistics. Last but not least, it is aimed at scientists with a genuine methodological interest in the above-mentioned reform debate.
Introduction To The New Statistics
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Author : Geoff Cumming
language : en
Publisher: Taylor & Francis
Release Date : 2024-03-21
Introduction To The New Statistics written by Geoff Cumming and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-21 with Psychology categories.
This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (“the new statistics”), is exactly what’s needed for Open Science. Key features of this new edition include: Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine. Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to what’s required for more advanced courses, and also by researchers. See www.thenewstatistics.com/itns/esci/jesci/. Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See www.esci.thenewstatistics.com/. Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two. Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retention Designed for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.
Understanding Inferential Statistics
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Author : Markus Janczyk
language : en
Publisher: Springer Nature
Release Date : 2023-10-24
Understanding Inferential Statistics written by Markus Janczyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with Medical categories.
What actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential statistics. Our major focus is on the logic of inferential statistics and hypothesis testing: We cover the logic behind statistical tests, we then walk through the most common procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) and discuss pitfalls of data analysis. The book thus helps developing a solid understanding of how common test procedures work, and how to interpret their results correctly. Hands-on examples from everyday research – including exemplary calculations with the programs SPSS and R – supplement each chapter. In addition to classical methods, we briefly discuss recent developments in psychological research methods. This book is a translation of the original German 3rd edition of “Inferenzstatistik Verstehen” by Markus Janczyk and Roland Pfister. It is based on an AI-powered machine translation (by the service DeepL.com), with thorough follow-up editing by both authors.
Handbook Of Parametric And Nonparametric Statistical Procedures Fifth Edition
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Author : David J. Sheskin
language : en
Publisher: CRC Press
Release Date : 2020-06-09
Handbook Of Parametric And Nonparametric Statistical Procedures Fifth Edition written by David J. Sheskin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Mathematics categories.
Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th
Research In Health Care
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Author : Julius Sim
language : en
Publisher: Nelson Thornes
Release Date : 2000
Research In Health Care written by Julius Sim and has been published by Nelson Thornes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Medical categories.
Providing everything the researcher, in a health care setting, needs to know about undertaking and completing a research project, this book provides detailed information about the various types of research projects that might be undertaken.
Statistics Using Spss
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Author : Sharon Lawner Weinberg
language : en
Publisher: Cambridge University Press
Release Date : 2008-03-03
Statistics Using Spss written by Sharon Lawner Weinberg 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 2008-03-03 with Computers categories.
Applied statistics text updated to be consistent with SPSS version 15, ideal for classroom use or self study.
International Encyclopedia Of Education
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Author :
language : en
Publisher: Elsevier
Release Date : 2009-04-17
International Encyclopedia Of Education written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-17 with Psychology categories.
The field of education has experienced extraordinary technological, societal, and institutional change in recent years, making it one of the most fascinating yet complex fields of study in social science. Unequalled in its combination of authoritative scholarship and comprehensive coverage, International Encyclopedia of Education, Third Edition succeeds two highly successful previous editions (1985, 1994) in aiming to encapsulate research in this vibrant field for the twenty-first century reader. Under development for five years, this work encompasses over 1,000 articles across 24 individual areas of coverage, and is expected to become the dominant resource in the field. Education is a multidisciplinary and international field drawing on a wide range of social sciences and humanities disciplines, and this new edition comprehensively matches this diversity. The diverse background and multidisciplinary subject coverage of the Editorial Board ensure a balanced and objective academic framework, with 1,500 contributors representing over 100 countries, capturing a complete portrait of this evolving field. A totally new work, revamped with a wholly new editorial board, structure and brand-new list of meta-sections and articles Developed by an international panel of editors and authors drawn from senior academia Web-enhanced with supplementary multimedia audio and video files, hotlinked to relevant references and sources for further study Incorporates ca. 1,350 articles, with timely coverage of such topics as technology and learning, demography and social change, globalization, and adult learning, to name a few Offers two content delivery options - print and online - the latter of which provides anytime, anywhere access for multiple users and superior search functionality via ScienceDirect, as well as multimedia content, including audio and video files
Developing Structured Procedural And Methodological Engineering Designs
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Author : Yohannes Yebabe Tesfay
language : en
Publisher: Springer Nature
Release Date : 2021-04-15
Developing Structured Procedural And Methodological Engineering Designs written by Yohannes Yebabe Tesfay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-15 with Technology & Engineering categories.
This book is designed to assist industrial engineers and production managers in developing procedural and methodological engineering tools to meet industrial standards and mitigate engineering and production challenges. It offers practitioners expert guidance on how to implement adequate statistical process control (SPC), which takes account of the capability to ensure a stable process and then regulate if variations take place due to variables other than a random variation. Powerful engineering models of new product introduction (NPI), continuous improvement (CI), and the eight disciplines (8D) model of problem solving techniques are explained. The final three chapters introduce new methodological models in operations research (OR) and their applications in engineering, including the hyper-hybrid coordination for process effectiveness and production efficiency, and the Kraljic-Tesfay portfolio matrix of industrial buying.