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Book Vague Data Analysis Using Sequential Test

Download or read book Vague Data Analysis Using Sequential Test written by Muhammad Aslam and published by Infinite Study. This book was released on 2024-01-01 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The existing sequential test using Bernoulli distribution can only be applied when no uncertainty/indeterminacy is found in testing the hypothesis. This paper introduces neutrosophic Bernoulli distribution and sequential test using the distribution. The operational procedure of the proposed test will be introduced and applied for testing the hypothesis in the presence of uncertainty.

Book Vagueness in Normative Texts

Download or read book Vagueness in Normative Texts written by Vijay K. Bhatia and published by Peter Lang. This book was released on 2005 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Normative texts are meant to be highly impersonal and decontextualised, yet at the same time they also deal with a range of human behaviour that is difficult to predict, which means they have to have a very high degree of determinacy on the one hand, and all-inclusiveness on the other. This poses a dilemma for the writer and interpreter of normative texts. The author of such texts must be determinate and vague at the same time, depending upon to what extent he or she can predict every conceivable contingency that may arise in the application of what he or she writes. The papers in this volume discuss important legal and linguistic aspects relating to the use of vagueness in legal drafting and demonstrate why such aspects are critical to our understanding of the way normative texts function.

Book Sequential Analysis

    Book Details:
  • Author : David Siegmund
  • Publisher : Springer Science & Business Media
  • Release : 1985-08-07
  • ISBN : 9780387961347
  • Pages : 296 pages

Download or read book Sequential Analysis written by David Siegmund and published by Springer Science & Business Media. This book was released on 1985-08-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more efficient sampling inspection procedures during World War II. The develop ments were admirably summarized by their principal architect, A. Wald, in his book Sequential Analysis (1947). In spite of the extraordinary accomplishments of this period, there remained some dissatisfaction with the sequential probability ratio test and Wald's analysis of it. (i) The open-ended continuation region with the concomitant possibility of taking an arbitrarily large number of observations seems intol erable in practice. (ii) Wald's elegant approximations based on "neglecting the excess" of the log likelihood ratio over the stopping boundaries are not especially accurate and do not allow one to study the effect oftaking observa tions in groups rather than one at a time. (iii) The beautiful optimality property of the sequential probability ratio test applies only to the artificial problem of testing a simple hypothesis against a simple alternative. In response to these issues and to new motivation from the direction of controlled clinical trials numerous modifications of the sequential probability ratio test were proposed and their properties studied-often by simulation or lengthy numerical computation. (A notable exception is Anderson, 1960; see III.7.) In the past decade it has become possible to give a more complete theoretical analysis of many of the proposals and hence to understand them better.

Book Toolkit for Working with Juvenile Sex Offenders

Download or read book Toolkit for Working with Juvenile Sex Offenders written by Daniel S. Bromberg and published by Academic Press. This book was released on 2014-03-04 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Juvenile sex offender therapy has changed markedly since it emerged in the 1980s. Toolkit for Working with Juvenile Sex Offenders provides therapists with a summary of evidence-based practice with this population, including working with comorbid conditions and developmental disabilities. It provides tools for use in assessment, case formulation, and treatment, and includes forms, checklists, and exercises. The intended audience is practitioners engaged in the assessment and treatment of juveniles whose sexual interests and/or behaviors are statistically non-normative and/or problematic. Readers will find a chapter on academic assessment and intervention, a domain frequently not covered by texts in this field. Identifies evidence-based treatment practice specifically for juveniles Provides tools for assessment, case formulation, and treatment Covers treatment in comorbid conditions or developmental disabilities Contains forms, checklists, and client exercises for use in practice

Book The Journal of Fuzzy Mathematics

Download or read book The Journal of Fuzzy Mathematics written by and published by . This book was released on 2008 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Doing Bayesian Data Analysis

Download or read book Doing Bayesian Data Analysis written by John Kruschke and published by Academic Press. This book was released on 2014-11-11 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and JAGS software Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis) Coverage of experiment planning R and JAGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs

Book Assignment Methods in Combinational Data Analysis

Download or read book Assignment Methods in Combinational Data Analysis written by Lawrence Hubert and published by CRC Press. This book was released on 1986-09-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time in one text, this handy pedagogical reference presents comprehensive inference strategies for organizing disparate nonparametric statistics topics under one scheme, illustrating ways of analyzing data sets based on generic notions of proximity (of "closeness") between objects. Assignment Methods in Combinatorial Data Analysis specifically reviews both linear and quadratic assignment models ... covers extensions to multiple object sets and higher-order assignment indices ... considers methods of applying linear assignment models in common data analysis contexts ... discusses a second motion of assignment (or "matching") based upon pairs of objects ... explores confirmatory methods of augmenting multidimensional sealing, cluster analysis, and related techniques ... labels sections in order of priority for continuity and convenience ... and includes extensive bibliographies of related literature. Assignment Methods in Combinatorial Data Analysis gives authoritative coverage of statistical testing, and measures of association in a single source. It is required reading and an invaluable reference for researchers and graduate students in the behavioral and social sciences using quantitative methods of data representation. Book jacket.

Book Cancer Treatment Reports

Download or read book Cancer Treatment Reports written by and published by . This book was released on 1980 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Statistical Inference as Severe Testing

Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Book Sequential Analysis

    Book Details:
  • Author : Abraham Wald
  • Publisher : Courier Corporation
  • Release : 2004-06-10
  • ISBN : 9780486439129
  • Pages : 230 pages

Download or read book Sequential Analysis written by Abraham Wald and published by Courier Corporation. This book was released on 2004-06-10 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inventor of a statistical inference system book describes his system and its applications. Discusses the general theory of the sequential probability ratio test, with comparisons to traditional statistical inference systems; applications that illustrate the general theory and of theoretical interest specific to these applications; possible approaches to the problem of sequential multi-valued decisions and estimation.

Book A Manager s Guide to the Design and Conduct of Clinical Trials

Download or read book A Manager s Guide to the Design and Conduct of Clinical Trials written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2003-05-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging and non-technical guide to clinical trials covers issues study design, organization, management, analysis, recruitment, reporting, software, and monitoring. Free from the jargon-laden treatment of other books, A Manager’s Guide to the Design and Conduct Clinical Trials is built upon the formula of first planning, then implementing, and finally performing essential checks. Offers an executive level presentation of managerial guidelines as well as handy checklists accompanied by extracts from submitted protocols Includes checklists, examples, and tips, as well as a useful appendix on available software Covers e-submissions and use of computers for direct data acquisition Incorporates humorous yet instructive and true anecdotes to illustrate common pitfalls

Book Applied Sequential Methodologies

Download or read book Applied Sequential Methodologies written by Nitis Mukhopadhyay and published by CRC Press. This book was released on 2004-01-28 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomizati

Book Artificial Intelligence and Security

Download or read book Artificial Intelligence and Security written by Xingming Sun and published by Springer Nature. This book was released on 2020-09-12 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 178 full papers and 8 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; Internet of things; information security; Part III: information security; big data and cloud computing; information processing.

Book Fuzzy Statistical Decision Making

Download or read book Fuzzy Statistical Decision Making written by Cengiz Kahraman and published by Springer. This book was released on 2016-07-15 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.

Book Applied Data Analysis and Modeling for Energy Engineers and Scientists

Download or read book Applied Data Analysis and Modeling for Energy Engineers and Scientists written by T. Agami Reddy and published by Springer Science & Business Media. This book was released on 2011-08-09 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.

Book Optimizing  Innovating  and Capitalizing on Information Systems for Operations

Download or read book Optimizing Innovating and Capitalizing on Information Systems for Operations written by Wang, John and published by IGI Global. This book was released on 2013-02-28 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adapting the development of information systems for operations management is essential for the effectiveness of an organization’s business strategy. Optimizing, Innovating, and Capitalizing on Information Systems for Operations presents research on the applications of information systems and its influence on business and operations management. Highlighting case studies, frameworks and methodologies, this book aims to be useful for practitioners and academics in the fields of decision, management, and social sciences.

Book Sequential Tests of Statistical Hypotheses

Download or read book Sequential Tests of Statistical Hypotheses written by Bhaskar Kumar Ghosh and published by . This book was released on 1970 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to give a systematic account of the mathematical theory in this field as applied to problems of hypothesis testing. The resulting methods are predominantly sequential probability ratio tests. A brief account of classical tests under the neyman-pearson formulation is included. The notion of sequential analysis has been used in some form or other in various branches of statistical inference. We may classify these branches into three broad categories: Statistical tests of hypotheses, statistical estimation, and statistical decision theory.