Statistics In Scientific Investigation
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Statistics In Scientific Investigation
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Author : Glen McPherson
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Statistics In Scientific Investigation written by Glen McPherson 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 2013-03-09 with Business & Economics categories.
In this book I have taken on the challenge of providing an insight into Statistics and a blueprint for statistical application for a wide audience. For students in the sciences and related professional areas and for researchers who may need to apply Statistics in the course of scientific experimenta tion, the development emphasizes the manner in which Statistics fits into the framework of the scientific method. Mathematics students will find a unified, but non-mathematical structure for Statistics which can provide the motivation for the theoretical development found in standard texts on theoretical Statistics. For statisticians and students of Statistics, the ideas contained in the book and their manner of development may aid in the de velopment of better communications between scientists and statisticians. The demands made of readers are twofold: a minimal mathematical prerequisite which is simply an ability to comprehend formulae containing mathematical variables, such as those derived from a high school course in algebra or the equivalent; a grasp of the process of scientific modeling which comes with ei ther experience in scientific experimentation or practice with solving mathematical problems.
Statistics In Scientific Investigation
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Author : Glen McPherson
language : en
Publisher:
Release Date : 2014-01-15
Statistics In Scientific Investigation written by Glen McPherson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Statistics And Scientific Method
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Author : Peter J. Diggle
language : en
Publisher: Oxford University Press
Release Date : 2011-08-11
Statistics And Scientific Method written by Peter J. Diggle and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-11 with Mathematics categories.
An antidote to technique-orientated approaches, this text avoids the recipe-book style, giving the reader a clear understanding of how core statistical ideas of experimental design, modelling, and data analysis are integral to the scientific method. No prior knowledge of statistics is required and a range of scientific disciplines are covered.
Statistics In Scientific Investigation Its Basis Application And Interpretation
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Author :
language : en
Publisher:
Release Date : 1990
Statistics In Scientific Investigation Its Basis Application And Interpretation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
The War On Statistical Significance
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Author : DONALD B. MACNAUGHTON
language : en
Publisher:
Release Date : 2021-03-30
The War On Statistical Significance written by DONALD B. MACNAUGHTON and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-30 with categories.
From the preface The "threshold p-value"-the arbiter of statistical significance-has been a widely used gateway to believability and acceptance for publication in scientific research since 1925. However, a growing number of statisticians and other researchers say we should "move beyond" these ideas, suggesting we should greatly reduce our emphasis on them in scientific research. These authors are waging a well-intentioned, polite, and vigorous intellectual war on the ideas of a threshold p-value and statistical significance. This is a "good" war, because it forces important issues into the open, where they can be best understood and assessed. This book grew from a sense that the threshold-p-value gateway to publication of scientific research results is highly useful but is also widely misunderstood. The book presents, from first principles, a modern view of the role of the gateway, as used by some scientific journals. The ideas are explained in terms of the recent disagreement about them between the editorial in a Special Issue on Statistical Inference of the American Statistician and a subsequent editorial in the New England Journal of Medicine. The ideas are developed with almost no reference to mathematics. (A computer can do all the standard math if the user properly understands the key ideas.) The explanations are reinforced with practical examples. The discussion shows how the concept of a threshold-p-value gateway helps researchers and journal editors maximize the overall scientific, social, and commercial benefit of scientific research. The gateway does this by optimally balancing the rates of costly "false-positive" and "false-negative" errors in a scientific journal. The book also discusses the important related ideas of a relationship between variables, a scientific hypothesis test, and the "replication crisis" in some branches of scientific research. The body of the book, which covers the key ideas, is roughly 30% of the text. The remainder consists of 23 appendices that expand the ideas in useful directions. The material is aimed at scientific researchers, journal editors, science teachers, and science students in the biological, social, and physical sciences. It will also be of interest to statisticians, data scientists, philosophers of science, and lay readers seeking an integrated modern view of the high-level operation of the study of relationships between variables in scientific research. About the author Donald B. Macnaughton has been a statistical consultant for more than 40 years. He has managed the statistical aspects of research in the fields of experimental psychology, zoology, drug dependence, nursing, education, business, geography, physical education, and inmate rehabilitation, among others. His consulting work supports and informs his main interest, which is to read, understand, and write about the vital role of the field of statistics in scientific research.
Scientific Investigation On Univariate Quantitative Methods
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Author : Sharipah Soaad Syed Yahya
language : en
Publisher: UUM Press
Release Date : 2016-07-19
Scientific Investigation On Univariate Quantitative Methods written by Sharipah Soaad Syed Yahya and has been published by UUM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-19 with Education categories.
The aim of this book is to deliver the reader with a book where they can discover a brief research idea in statistics and mathematics including a wide range of topics such as t-test, ANOVA, L-moment, centrality measure, Quintic Bézier Triangular Patches, and abelianess in Group Theory. The book is advisable for the readers to have some basic foundation on statistical inference and mathematical formulation prior to reading the chapters in this book. It is also suitable for researchers who want to get up to speed quickly on modern statistical and mathematical approach.
Statistical Methods In Social Science Research
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Author : S P Mukherjee
language : en
Publisher: Springer
Release Date : 2018-10-05
Statistical Methods In Social Science Research written by S P Mukherjee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Social Science categories.
This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method – as distinct from a ‘science’ related to any one type of phenomena – is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers.
Statistics In The Social Sciences
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Author : Stanislav Kolenikov
language : en
Publisher: John Wiley & Sons
Release Date : 2010-02-22
Statistics In The Social Sciences written by Stanislav Kolenikov 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 2010-02-22 with Mathematics categories.
A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.
Recent Advances In Statistical Research And Data Analysis
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Author : Y. Baba
language : en
Publisher: Springer
Release Date : 2002-05
Recent Advances In Statistical Research And Data Analysis written by Y. Baba and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05 with Computers categories.
Recent Advances in Statistical Research and Data Analysis is a collection of papers presented at the symposium of the same name, held in Tokyo by the Center for Information on Statistical Science of the Institute of Statistical Mathematics (ISM). Under the auspices of the Ministry of Education, Culture, Sports, Science and Technology of Japan, the ISM has created visiting professorships and organized symposia to promote collaboration between researchers from Japan and those from other countries. At the symposium on recent advances in statistical research and data analysis, the keynote speaker was Visiting Professor Anthony J. Hayter. This book includes Prof. Hayter's address as well as papers from special lectures that were presented at the symposium. All the contributions are concerned with theory and methodology for real data and thus will benefit researchers, students, and others engaged in data analysis.
Statistical Methods Of Analysis
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Author : Chin Long Chiang
language : en
Publisher: World Scientific Publishing Company
Release Date : 2003-10-01
Statistical Methods Of Analysis written by Chin Long Chiang and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-01 with Mathematics categories.
This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods of analysis useful for scientific research. It is rich in tables, diagrams, and examples, in addition to theoretical justification of the methods of analysis introduced. Each chapter has a section entitled “Exercises and Problems” to accompany the text. There are altogether about 300 exercises and problems, answers to the selected problems are given. A section entitled “Proof of the Results in This Chapter” in each chapter provides interested readers with material for further study.