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Sequential Nonparametrics
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Book Synopsis Theory and Applications of Sequential Nonparametrics by : Pranab Kumar Sen
Download or read book Theory and Applications of Sequential Nonparametrics written by Pranab Kumar Sen and published by SIAM. This book was released on 1985-01-01 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of sequential nonparametric methods emphasizing the unified Martingale approach to the theory, with a detailed explanation of major applications including problems arising in clinical trials, life-testing experimentation, survival analysis, classical sequential analysis and other areas of applied statistics and biostatistics.
Book Synopsis Theory and Applications of Sequential Nonparametrics by : Pranab Kumar Sen
Download or read book Theory and Applications of Sequential Nonparametrics written by Pranab Kumar Sen and published by SIAM. This book was released on 1985-01-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of sequential nonparametric methods emphasizing the unified Martingale approach to the theory, with a detailed explanation of major applications including problems arising in clinical trials, life-testing experimentation, survival analysis, classical sequential analysis and other areas of applied statistics and biostatistics.
Book Synopsis Sequential Nonparametrics by : Pranab Kumar Sen
Download or read book Sequential Nonparametrics written by Pranab Kumar Sen and published by . This book was released on 1981-10-13 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough text on sequential nonparametrics, utilizing a unified martingale approach in the study of the invariance principles for nonparametric statistics. Contains formulations of sequential tests and estimators such as repeated significance and rank order tests. Shows how sequential confidence regions and asymptotically risk efficient point estimation procedures can be treated in a complete nonparametric set-up. Includes extensive bibliography.
Book Synopsis Handbook of Sequential Analysis by : B.K. Ghosh
Download or read book Handbook of Sequential Analysis written by B.K. Ghosh and published by CRC Press. This book was released on 1991-04-24 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequential analysis refers to the body of statistical theory and methods where the sample size may depend in a random manner on the accumulating data. A formal theory in which optimal tests are derived for simple statistical hypotheses in such a framework was developed by Abraham Wald in the early 1
Book Synopsis Recent Developments in Nonparametric Inference and Probability by :
Download or read book Recent Developments in Nonparametric Inference and Probability written by and published by IMS. This book was released on 2006 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sequential Methods and Their Applications by : Nitis Mukhopadhyay
Download or read book Sequential Methods and Their Applications written by Nitis Mukhopadhyay and published by CRC Press. This book was released on 2008-10-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come AliveTaking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas.The book fir
Book Synopsis Nonparametric Sequential Selection Procedures by : BÜRINGER
Download or read book Nonparametric Sequential Selection Procedures written by BÜRINGER and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: New ( -6ta.wtic.a£.) me.thod!.-6p11.ea.d abJtoad only -t6 they Me ava.il.a.b.te -tVl aVl ex.teVl -6-tve -6el6-c.ovtta-tVled pJte-6evttatioVl. It WM ~ peJtc.eptioVl that made M WlUte dOWVl the ma-tVl -tde.a.6 06 a Vlew bMnc.h 06 -6equentia£.-6ta.wtic.a£. theOlty, c.aU.ed "Nonpa JtCWle;(;!UC. Sequentia£. Selec.tion pJtoc.edUlte-6". What do we M-60c.-i.ate will tw VlOtiOVl? Well, a -6elec.tioVl ptwc.eduJte Oit -6elec.tion model -i.-6 Vlofung but a -6ta.wtic.aI'. expeJt-i.ment de-6-tgned 60ft -tdevt.ti6y-tng the be-6t 06 -6eveJtal'. a£.teJtnaUVe-6, a PJtob£em we Me 6ac.ed will a.imO-6t eveJtyday. The -6ta.w tic.a£. method!.-tnduded -tVl ~ book. aU.ow to -6elec.t the be-6t al'.teJtnative when eveJt theJte -i.-6 aVlY -6ub-6ta.vt.tial'. d-i.6neJteVlc.e among them. The bOOQ C. Ovl:UUVl-6 e-6-6ent-taUy the Jte-6uLt-6 06 the pMt teVl yeM-6, -tVlc.fud-i. Vlg OUlt own Jte-6eaJtc.h onLy pallUaU.y pubfuhed -tVl -6ta.wtic.aI'. jOUltnru. It -i.-6 VlUtheJt a c.oUec.tio n 06 -6ta.wtic.a£. Jtec.upe-6 VlOJt a tlteawe eXc.tM-tve.ty theoJtetic.a£. It -i.-6 de-6-tgned pJt-i.maltdy 60Jt -6c.-tenwt-6 will -6tJtOVlg mathematic.a£. bac. QgltOuVlCu -tnte Jte-6ted -tn Vlew developmeVlt-6 06 appued -6tafutic.-6
Book Synopsis Nonparametric Methods in Change Point Problems by : E. Brodsky
Download or read book Nonparametric Methods in Change Point Problems written by E. Brodsky and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re quirements concerning the reliability of statistical decisions, the accuracy of math ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object's behavior, to create mathematical models for each seg ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witnessed many exciting developments in the theory of change-point detection. New promising directions of research have emerged, and traditional trends have flourished anew. Despite this, most of the results are widely scattered in the literature and few monographs exist. A real need has arisen for up-to-date books which present an account of important current research trends, one of which is the theory of non parametric change--point detection.
Book Synopsis Applied Sequential Methodologies by : Nitis Mukhopadhyay
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 498 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, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous additional areas of application. Includes more than 500 references, 165 figures and tables, and over 25 pages of subject and author indexes. Applied Sequential Methodologies brings the crucial nature of sequential approaches up to speed with recent theoretical gains, demonstrating their utility for solving real-life problems associated with Change-point detection in multichannel and distributed systems Best component selection for multivariate distributions Multistate processes Approximations for moving sums of discrete random variables Interim and terminal analyses of clinical trials Adaptive designs for longitudinal clinical trials Slope estimation in measurement-error models Tests for randomization and target tracking Appropriate count of simulation runs Stock price models Orders of genes Size and power control in multiple comparisons Authored by 33 leading scientists, this volume will greatly benefit sequential analysts, data analysts, applied statisticians, biometricians, clinical trialists, and upper-level undergraduate and graduate students in these disciplines.
Book Synopsis Sequential Nonparametric Detection of Change in Distribution by : Hong Zhou
Download or read book Sequential Nonparametric Detection of Change in Distribution written by Hong Zhou and published by . This book was released on 1993 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development in the Asia Pacific by : Jong S. Jun
Download or read book Development in the Asia Pacific written by Jong S. Jun and published by Walter de Gruyter. This book was released on 1994 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Development in the Asia Pacific".
Book Synopsis Sequential Estimation by : Malay Ghosh
Download or read book Sequential Estimation written by Malay Ghosh and published by John Wiley & Sons. This book was released on 2011-09-09 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well.
Book Synopsis Stochastic Processes and Applications by : Sergei Silvestrov
Download or read book Stochastic Processes and Applications written by Sergei Silvestrov and published by Springer. This book was released on 2018-12-05 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in stochastic processes, probability theory, mathematical statistics, engineering mathematics and algebraic structures, focusing on mathematical models, structures, concepts, problems and computational methods and algorithms important in modern technology, engineering and natural sciences applications. It comprises selected, high-quality, refereed contributions from various large research communities in modern stochastic processes, algebraic structures and their interplay and applications. The chapters cover both theory and applications, illustrated by numerous figures, schemes, algorithms, tables and research results to help readers understand the material and develop new mathematical methods, concepts and computing applications in the future. Presenting new methods and results, reviews of cutting-edge research, and open problems and directions for future research, the book serves as a source of inspiration for a broad spectrum of researchers and research students in probability theory and mathematical statistics, applied algebraic structures, applied mathematics and other areas of mathematics and applications of mathematics. The book is based on selected contributions presented at the International Conference on “Stochastic Processes and Algebraic Structures – From Theory Towards Applications” (SPAS2017) to mark Professor Dmitrii Silvestrov’s 70th birthday and his 50 years of fruitful service to mathematics, education and international cooperation, which was held at Mälardalen University in Västerås and Stockholm University, Sweden, in October 2017.
Book Synopsis Gini Inequality Index by : Nitis Mukhopadhyay
Download or read book Gini Inequality Index written by Nitis Mukhopadhyay and published by CRC Press. This book was released on 2021-04-21 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Prof. Nitis Mukhopadhyay and Prof. Partha Pratim Sengupta, who edited this volume with great attention and rigor, have certainly carried out noteworthy activities." - Giovanni Maria Giorgi, University of Rome (Sapienza) "This book is an important contribution to the development of indices of disparity and dissatisfaction in the age of globalization and social strife." - Shelemyahu Zacks, SUNY-Binghamton "It will not be an overstatement when I say that the famous income inequality index or wealth inequality index, which is most widely accepted across the globe is named after Corrado Gini (1984-1965). ... I take this opportunity to heartily applaud the two co-editors for spending their valuable time and energy in putting together a wonderful collection of papers written by the acclaimed researchers on selected topics of interest today. I am very impressed, and I believe so will be its readers." - K.V. Mardia, University of Leeds Gini coefficient or Gini index was originally defined as a standardized measure of statistical dispersion intended to understand an income distribution. It has evolved into quantifying inequity in all kinds of distributions of wealth, gender parity, access to education and health services, environmental policies, and numerous other attributes of importance. Gini Inequality Index: Methods and Applications features original high-quality peer-reviewed chapters prepared by internationally acclaimed researchers. They provide innovative methodologies whether quantitative or qualitative, covering welfare economics, development economics, optimization/non-optimization, econometrics, air quality, statistical learning, inference, sample size determination, big data science, and some heuristics. Never before has such a wide dimension of leading research inspired by Gini's works and their applicability been collected in one edited volume. The volume also showcases modern approaches to the research of a number of very talented and upcoming younger contributors and collaborators. This feature will give readers a window with a distinct view of what emerging research in this field may entail in the near future.
Book Synopsis Breakthroughs in Statistics by : Samuel Kotz
Download or read book Breakthroughs in Statistics written by Samuel Kotz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a two volume collection of seminal papers in the statistical sciences written during the past 100 years. These papers have each had an outstanding influence on the development of statistical theory and practice over the last century. Each paper is preceded by an introduction written by an authority in the field providing background information and assessing its influence. Readers will enjoy a fresh outlook on now well-established features of statistical techniques and philosophy by becoming acquainted with the ways they have been developed. It is hoped that some readers will be stimulated to study some of the references provided in the Introductions (and also in the papers themselves) and so attain a deeper background knowledge of the basis of their work.
Download or read book U-Statistics written by A J. Lee and published by Routledge. This book was released on 2019-03-13 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1946 Paul Halmos studied unbiased estimators of minimum variance, and planted the seed from which the subject matter of the present monograph sprang. The author has undertaken to provide experts and advanced students with a review of the present status of the evolved theory of U-statistics, including applications to indicate the range and scope of U-statistic methods. Complete with over 200 end-of-chapter references, this is an invaluable addition to the libraries of applied and theoretical statisticians and mathematicians.
Book Synopsis Theory of Rank Tests by : Zbynek Sidak
Download or read book Theory of Rank Tests written by Zbynek Sidak and published by Elsevier. This book was released on 1999-04-06 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Asymptotic Methods Nonparametrics Convergence of Probability Measures Statistical Inference
