Statistical Paradigms

Author : Richard Royall
Publisher : Routledge
ISBN 13 : 1351414550
Total Pages : 258 pages
Book Rating : 4.55/5 ( download)

DOWNLOAD NOW!

Download or read book Statistical Evidence written by Richard Royall and published by Routledge. This book was released on 2017-11-22 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

Author : Ashis SenGupta
Publisher : World Scientific
ISBN 13 : 9814644110
Total Pages : 308 pages
Book Rating : 4.12/5 ( download)

DOWNLOAD NOW!

Download or read book Statistical Paradigms written by Ashis SenGupta and published by World Scientific. This book was released on 2014-10-03 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume consists of a collection of research articles on classical and emerging Statistical Paradigms — parametric, non-parametric and semi-parametric, frequentist and Bayesian — encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability. Contents:Reviews:Weak Paradoxes and Paradigms (Jayanta K Ghosh)Nonparametrics in Modern Interdisciplinary Research: Some Perspectives and Prospectives (Pranab K Sen)Parametric:Bounds on Distributions Involving Partial, Marginal and Conditional Information: The Consequences of Incomplete Prior Specification (Barry C Arnold)Stepdown Procedures Controlling a Generalized False Discovery Rate (Wenge Guo and Sanat K Sarkar)On Confidence Intervals for Expected Response in 2n Factorial Experiments with Exponentially Distributed Response Variables (H V Kulkarni and S C Patil)Predictive Influence of Variables in a Linear Regression Model when the Moment Matrix is Singular (Md Nurul Haque Mollah and S K Bhattacharjee)New Wrapped Distributions — Goodness of Fit (A V Dattatreya Rao, I Ramabhadra Sarma and S V S Girija)Semi-Parametric:Non-Stationary Samples and Meta-Distribution (Dominique Guégan)MDL Model Selection Criterion for Mixed Models with an Application to Spline Smoothing (Antti Liski and Erkki P Liski)Digital Governance and Hotspot Geoinformatics with Continuous Fractional Response (G P Patil, S W Joshi and R E Koli)Bayesian Curve Registration of Functional Data (Z Zhong, A Majumdar and R L Eubank)Non-Parametric & Probability:Nonparametric Estimation in a One-Way Error Component Model: A Monte Carlo Analysis (Daniel J Henderson and Aman Ullah)GERT Analysis of Consecutive-k Systems: An Overview (Kanwar Sen, Manju Agarwal and Pooja Mohan)Moment Bounds for Strong-Mixing Processes with Applications (Ratan Dasgupta) Readership: Researchers, professionals and advanced students working on Bayesian and frequentist approaches to statistical modeling and on interfaces for both theory and applications. Key Features:A scholarly and motivating review of non-parametric methods by P K Sen, winner of the Wilks Medal in 2010Discussion of paradoxes of the frequentist and Bayesian paradigms, related counterexamples, and their implicationsStands out in terms of the width and depthKeywords:Bayesian Inference;Design of Experiments;Econometrics;Hotspot Geoinformatics;Linear Models and Regression Analysis;Multiple Testing Procedures;Probability Distributions for Linear and Directional Data;Reliability

Author : Darmont, Jérôme
Publisher : IGI Global
ISBN 13 : 1522549641
Total Pages : 313 pages
Book Rating : 4.42/5 ( download)

DOWNLOAD NOW!

Download or read book Utilizing Big Data Paradigms for Business Intelligence written by Darmont, Jérôme and published by IGI Global. This book was released on 2018-08-10 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five “Vs” of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.

Author : Dawn E. Holmes
Publisher : Springer Science & Business Media
ISBN 13 : 3642232418
Total Pages : 257 pages
Book Rating : 4.11/5 ( download)

DOWNLOAD NOW!

Download or read book Data Mining: Foundations and Intelligent Paradigms written by Dawn E. Holmes and published by Springer Science & Business Media. This book was released on 2011-11-09 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Author : Andrew M. Hartley
Publisher : Wipf and Stock Publishers
ISBN 13 : 1556355491
Total Pages : 138 pages
Book Rating : 4.93/5 ( download)

DOWNLOAD NOW!

Download or read book Christian and Humanist Foundations for Statistical Inference written by Andrew M. Hartley and published by Wipf and Stock Publishers. This book was released on 2007-12-01 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Philosophy of the Law Idea (PLI) analyzes the manner in which religious beliefs control scientific theorizing. Religious beliefs control philosophical overviews of reality. Overviews of reality, also called ontologies, try to discover and disclose the essential nature of reality. They are concerned with what kinds of things exist and with the connections between the various types of properties and laws in human experience. Among such overviews are the biblically consistent overview provided by the PLI and certain humanist mathematicist and subjectivist overviews. The science of statistical inference seeks to evaluate the credibility of scientific hypotheses given empirical data. This essay reviews various popular paradigms, or systems of theories, concerning the ways that credibility may be evaluated, and identifies some ways that these religiously controlled overviews of reality have, in turn, controlled statistical paradigms. In particular, one paradigm harmonizes with the PLI's overview; another, with the subjectivist overview; and two others, with the mathematicist overview.

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 303059338X
Total Pages : 648 pages
Book Rating : 4.84/5 ( download)

DOWNLOAD NOW!

Download or read book Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-12-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Author :
Publisher : Elsevier
ISBN 13 : 9780080930961
Total Pages : 1260 pages
Book Rating : 4.64/5 ( download)

DOWNLOAD NOW!

Download or read book Philosophy of Statistics written by and published by Elsevier. This book was released on 2011-05-31 with total page 1260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling “restricted by their disciplines or thinking “piecemeal in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays in this Handbook are concerned with problems of induction, statistics and probability. For centuries, foundational problems like induction have been among philosophers’ favorite topics; recently, however, non-philosophers have increasingly taken a keen interest in these issues. This volume accordingly contains papers by both philosophers and non-philosophers, including scholars from nine academic disciplines. Provides a bridge between philosophy and current scientific findings Covers theory and applications Encourages multi-disciplinary dialogue

Author : Bunmi Isaiah Omodan
Publisher : Taylor & Francis
ISBN 13 : 1040093043
Total Pages : 233 pages
Book Rating : 4.47/5 ( download)

DOWNLOAD NOW!

Download or read book Research Paradigms and Their Methodological Alignment in Social Sciences written by Bunmi Isaiah Omodan and published by Taylor & Francis. This book was released on 2024-08-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paradigms and Their Methodological Alignment in Social Sciences is a comprehensive guide addressing the common conceptions surrounding research paradigms. This practical book demystifies complex concepts, giving researchers a nuanced understanding of the significance of research paradigms. It offers detailed insights, examples, and strategies for selecting and applying appropriate research methods, aiming to enhance the rigour and impact of scholarly work. This insightful guide meticulously explores the intricacies of research paradigms in the social sciences. It begins by unravelling the concept and historical development of research paradigm, emphasising its pivotal role in shaping the research process. The book elucidates major research paradigms, including positivism, interpretivism, transformative paradigm, postcolonial indigenous paradigm, and pragmatism. Each paradigm is dissected, unveiling philosophical underpinnings, methodological designs, and critical considerations. The chapters carefully align research questions with specific paradigms through illustrative case studies, offering practical guidance for researchers at all levels. Notably, the transformative paradigm and postcolonial indigenous perspective receive dedicated attention, addressing their unique methodological nuances and ethical dimensions. The exploration extends to pragmatism, seamlessly integrating theoretical foundations with real-world applications. The book strives to bridge the awareness gap in academic settings, fostering a profound appreciation for research paradigms and promoting a thoughtful, rigorous approach to scholarly inquiry. This book caters to students, novice and experienced researchers, offering a comprehensive understanding of research paradigms. It's valuable for academia, aiding undergraduate and postgraduate students, educators, and researchers in various disciplines. Research organisations, academic institutions, and professionals in diverse fields engaged in research and development will also find it a valuable resource.

Author : Aristomenis S. Lampropoulos
Publisher : Springer
ISBN 13 : 3319191357
Total Pages : 135 pages
Book Rating : 4.55/5 ( download)

DOWNLOAD NOW!

Download or read book Machine Learning Paradigms written by Aristomenis S. Lampropoulos and published by Springer. This book was released on 2015-06-13 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and Recommender Systems, as well as for the general reader in the fields of Applied and Computer Science who wishes to learn more about the emerging discipline of Recommender Systems and their applications. Finally, the book provides an extended list of bibliographic references which covers the relevant literature completely.

Author : Richard M. Royall
Publisher :
ISBN 13 :
Total Pages : 191 pages
Book Rating : 4.45/5 ( download)

DOWNLOAD NOW!

Download or read book Statistical Evidence written by Richard M. Royall and published by . This book was released on 1997 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: