Statistical Inference Under Order Restrictions

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Publisher :
ISBN 13 : 9780608163352
Total Pages : 400 pages
Book Rating : 4.1/5 (633 download)

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Book Synopsis Statistical Inference Under Order Restrictions by : Richard E. Barlow

Download or read book Statistical Inference Under Order Restrictions written by Richard E. Barlow and published by . This book was released on 1972 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: ;Contents: Isotonic regression; Estimation under order restrictions; Testing the equality of ordered means--likelihood ratio tests in the normal case; Testing the equality of ordered means--extensions and generalizations; Estimation of distributions; Isotonic tests for goodness of fit; Conditional expectation given a sigma-lattice.

Statistical Inference Under Order Restrictions

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Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 406 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Statistical Inference Under Order Restrictions by : Richard E. Barlow

Download or read book Statistical Inference Under Order Restrictions written by Richard E. Barlow and published by John Wiley & Sons. This book was released on 1972 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Isotonic regression; Estimation under order restrictions; Testing the equality of ordered means: likelihood ratio tests in the normal case; Testing the equality of ordered means: extensions and generalizations; Estimation of distributions; Isotonic tests for goodness of fit; Conditional expectation given a Lattice.

Statistical Inference Under Order Restrictions

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ISBN 13 :
Total Pages : 388 pages
Book Rating : 4.:/5 (892 download)

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Book Synopsis Statistical Inference Under Order Restrictions by : Richard E. Barlow

Download or read book Statistical Inference Under Order Restrictions written by Richard E. Barlow and published by . This book was released on 1990 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

STATISTICAL INFERENCE UNDER ORDER RESTRICTIONS.

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ISBN 13 :
Total Pages : 8 pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis STATISTICAL INFERENCE UNDER ORDER RESTRICTIONS. by :

Download or read book STATISTICAL INFERENCE UNDER ORDER RESTRICTIONS. written by and published by . This book was released on 1972 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Order Restricted Statistical Inference

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Publisher : Springer Science & Business Media
ISBN 13 : 1461399408
Total Pages : 305 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Advances in Order Restricted Statistical Inference by : Richard Dykstra

Download or read book Advances in Order Restricted Statistical Inference written by Richard Dykstra and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: With support from the University of Iowa and the Office of Naval Research. a small conference on order restricted inference was held at the University of Iowa in Iowa City in April of 1981. There were twenty-one participants. mostly from the midwest. and eleven talks were presented. A highlight of the conference was a talk by D. J. Bartholomew on. "Reflections on the past and thoughts about the future. " The conference was especially valuable because it brought together researchers who were thinking about related problems. A small conference on a limited topic is one of the best ways to stimulate research and facilitate collaboration. Because of the success of the first conference. a second conference was organized and held in September of 1985. This second conference was made possible again by support from the Office of Naval Research under Department of the Navy Contract NOOOI4-85-0161 and the University of Iowa. There were thirty-five participants and twenty presentations on a wide variety of topics dealing with order restricted inference at the second conference. This volume is a collection of fourteen of those presentations. By collecting together and organizing the fundamental results in order restricted inference in Statistical Inference under Order Restrictions. R. E. Barlow. D. J. Bartholomew. J. M. Bremner and H. D. Brunk have done much to stimulate research in this area. and so we wish to express our gratitude to them first.

Statistical Inference Under Order Restrictions - the Theory and Application of Isotonic Regression R.E. Barlow [And Others]

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ISBN 13 :
Total Pages : 388 pages
Book Rating : 4.:/5 (74 download)

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Book Synopsis Statistical Inference Under Order Restrictions - the Theory and Application of Isotonic Regression R.E. Barlow [And Others] by :

Download or read book Statistical Inference Under Order Restrictions - the Theory and Application of Isotonic Regression R.E. Barlow [And Others] written by and published by . This book was released on 1972 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference Under Order Restrictions with Applications

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ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.:/5 (569 download)

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Book Synopsis Statistical Inference Under Order Restrictions with Applications by : Joshua Martin Betcher

Download or read book Statistical Inference Under Order Restrictions with Applications written by Joshua Martin Betcher and published by . This book was released on 2004 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Constrained Statistical Inference

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Publisher : John Wiley & Sons
ISBN 13 : 1118165632
Total Pages : 560 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Constrained Statistical Inference by : Mervyn J. Silvapulle

Download or read book Constrained Statistical Inference written by Mervyn J. Silvapulle and published by John Wiley & Sons. This book was released on 2011-09-15 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regression Inequality-constrained tests on normal means Tests in general parametric models Likelihood and alternatives Analysis of categorical data Inference on monotone density function, unimodal density function, shape constraints, and DMRL functions Bayesian perspectives, including Stein’s Paradox, shrinkage estimation, and decision theory

Order Restricted Statistical Inference

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Publisher : John Wiley & Sons Incorporated
ISBN 13 : 9780471917878
Total Pages : 521 pages
Book Rating : 4.9/5 (178 download)

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Book Synopsis Order Restricted Statistical Inference by : Tim Robertson

Download or read book Order Restricted Statistical Inference written by Tim Robertson and published by John Wiley & Sons Incorporated. This book was released on 1988 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work attempts to provide a comprehensive treatment of the topic of statistical inference under inequality constraints, in which much of the theory is based on the principles ofr maximum likelihood estimation and likelihood ratio tests.

Constrained Statistical Inference

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (756 download)

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Book Synopsis Constrained Statistical Inference by : Pranab Kumar Sen

Download or read book Constrained Statistical Inference written by Pranab Kumar Sen and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference for Parameters Subject to Order Restrictions

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Publisher :
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.:/5 (468 download)

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Book Synopsis Statistical Inference for Parameters Subject to Order Restrictions by : Xiaofeng Tan

Download or read book Statistical Inference for Parameters Subject to Order Restrictions written by Xiaofeng Tan and published by . This book was released on 1997 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

On Recursive Formulas for Isotonic Regression Useful for Statistical Inference Under Order Restrictions

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ISBN 13 :
Total Pages : 14 pages
Book Rating : 4.:/5 (897 download)

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Book Synopsis On Recursive Formulas for Isotonic Regression Useful for Statistical Inference Under Order Restrictions by : P. S. Puri

Download or read book On Recursive Formulas for Isotonic Regression Useful for Statistical Inference Under Order Restrictions written by P. S. Puri and published by . This book was released on 1988 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamental Statistical Inference

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Publisher : John Wiley & Sons
ISBN 13 : 1119417864
Total Pages : 586 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Fundamental Statistical Inference by : Marc S. Paolella

Download or read book Fundamental Statistical Inference written by Marc S. Paolella and published by John Wiley & Sons. This book was released on 2018-09-04 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to statistical inference that addresses the latest developments in this ever-growing field This clear and accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference, providing complete derivations of results, discussions, and MATLAB programs for computation. It emphasizes details of the relevance of the material, intuition, and discussions with a view towards very modern statistical inference. In addition to classic subjects associated with mathematical statistics, topics include an intuitive presentation of the (single and double) bootstrap for confidence interval calculations, shrinkage estimation, tail (maximal moment) estimation, and a variety of methods of point estimation besides maximum likelihood, including use of characteristic functions, and indirect inference. Practical examples of all methods are given. Estimation issues associated with the discrete mixtures of normal distribution, and their solutions, are developed in detail. Much emphasis throughout is on non-Gaussian distributions, including details on working with the stable Paretian distribution and fast calculation of the noncentral Student's t. An entire chapter is dedicated to optimization, including development of Hessian-based methods, as well as heuristic/genetic algorithms that do not require continuity, with MATLAB codes provided. The book includes both theory and nontechnical discussions, along with a substantial reference to the literature, with an emphasis on alternative, more modern approaches. The recent literature on the misuse of hypothesis testing and p-values for model selection is discussed, and emphasis is given to alternative model selection methods, though hypothesis testing of distributional assumptions is covered in detail, notably for the normal distribution. Presented in three parts—Essential Concepts in Statistics; Further Fundamental Concepts in Statistics; and Additional Topics—Fundamental Statistical Inference: A Computational Approach offers comprehensive chapters on: Introducing Point and Interval Estimation; Goodness of Fit and Hypothesis Testing; Likelihood; Numerical Optimization; Methods of Point Estimation; Q-Q Plots and Distribution Testing; Unbiased Point Estimation and Bias Reduction; Analytic Interval Estimation; Inference in a Heavy-Tailed Context; The Method of Indirect Inference; and, as an appendix, A Review of Fundamental Concepts in Probability Theory, the latter to keep the book self-contained, and giving material on some advanced subjects such as saddlepoint approximations, expected shortfall in finance, calculation with the stable Paretian distribution, and convergence theorems and proofs.

All of Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387217363
Total Pages : 446 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis All of Statistics by : Larry Wasserman

Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Constrained Statistical Inference

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ISBN 13 : 9781283279932
Total Pages : pages
Book Rating : 4.2/5 (799 download)

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Book Synopsis Constrained Statistical Inference by : David K. Ruch

Download or read book Constrained Statistical Inference written by David K. Ruch and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introduction -- 2. Comparison of population means and isotonic regression -- 3. Tests on multivariate normal mean -- 4. Tests in general parametric models -- 5. Likelihood and alternatives -- 6. Analysis of categorical data -- 7. Beyond parametrics -- 8. Bayesian perspectives -- 9. Miscellaneous topics

Probability Theory and Statistical Inference

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Publisher : Cambridge University Press
ISBN 13 : 1107185149
Total Pages : 787 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Probability Theory and Statistical Inference by : Aris Spanos

Download or read book Probability Theory and Statistical Inference written by Aris Spanos and published by Cambridge University Press. This book was released on 2019-09-19 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.

Principles of Statistical Inference

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Publisher : Cambridge University Press
ISBN 13 : 1139459139
Total Pages : 227 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Principles of Statistical Inference by : D. R. Cox

Download or read book Principles of Statistical Inference written by D. R. Cox and published by Cambridge University Press. This book was released on 2006-08-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.