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Approximate Confidence Regions For Minimax Linear Estimators
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Book Synopsis Approximate Confidence Regions for Minimax-linear Estimators by : Helge Toutenburg
Download or read book Approximate Confidence Regions for Minimax-linear Estimators written by Helge Toutenburg and published by . This book was released on 1999 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Approximate Confidence Regions for Minimax-linear Estimators by : Helge Toutenburg
Download or read book Approximate Confidence Regions for Minimax-linear Estimators written by Helge Toutenburg and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook Of Applied Econometrics And Statistical Inference by : Aman Ullah
Download or read book Handbook Of Applied Econometrics And Statistical Inference written by Aman Ullah and published by CRC Press. This book was released on 2002-01-29 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. It supplies a geometric proof of an extended Gauss-Markov theorem, approaches for the design and implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions ofsample size requirements for estimation in SUR models, innovative developments in nonparametric models, and more.
Book Synopsis Good Exact Confidence Sets and Minimax Estimators for the Mean Vector of a Multivariate Normal Distribution by : Yu-Ling Tseng
Download or read book Good Exact Confidence Sets and Minimax Estimators for the Mean Vector of a Multivariate Normal Distribution written by Yu-Ling Tseng and published by . This book was released on 1994 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A numerical method for an approximate minimax estimator in linear regression by : Jörg Lauterbach
Download or read book A numerical method for an approximate minimax estimator in linear regression written by Jörg Lauterbach and published by . This book was released on 1990 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Minimax Expected Length Confidence Intervals by : Bendek B. Hansen
Download or read book Minimax Expected Length Confidence Intervals written by Bendek B. Hansen and published by . This book was released on 2000 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Approximate minimax estimators in the linear regression model by : Peter Stahlecker
Download or read book Approximate minimax estimators in the linear regression model written by Peter Stahlecker and published by . This book was released on 1986 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Minimax Estimation with Respect to Restricted Parameter Sets by : Soebanar
Download or read book Minimax Estimation with Respect to Restricted Parameter Sets written by Soebanar and published by . This book was released on 1987 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Journal of Statistical Planning and Inference by :
Download or read book Journal of Statistical Planning and Inference written by and published by . This book was released on 1993 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book NBS Special Publication written by and published by . This book was released on 1970 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to Probability and Statistical Inference by : George G. Roussas
Download or read book An Introduction to Probability and Statistical Inference written by George G. Roussas and published by Elsevier. This book was released on 2003-02-13 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Roussas introduces readers with no prior knowledge in probability or statistics, to a thinking process to guide them toward the best solution to a posed question or situation. An Introduction to Probability and Statistical Inference provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. "The text is wonderfully written and has the mostcomprehensive range of exercise problems that I have ever seen." — Tapas K. Das, University of South Florida"The exposition is great; a mixture between conversational tones and formal mathematics; the appropriate combination for a math text at [this] level. In my examination I could find no instance where I could improve the book." — H. Pat Goeters, Auburn, University, Alabama* Contains more than 200 illustrative examples discussed in detail, plus scores of numerical examples and applications* Chapters 1-8 can be used independently for an introductory course in probability* Provides a substantial number of proofs
Download or read book Mathematical Reviews written by and published by . This book was released on 2003 with total page 1448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1984 with total page 1278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Author and Permuted Title Index to Selected Statistical Journals by : Brian L. Joiner
Download or read book An Author and Permuted Title Index to Selected Statistical Journals written by Brian L. Joiner and published by . This book was released on 1970 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: All articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.
Book Synopsis Approximate linear minimax estimation in regression analysis with ellipsoidal constraints by : Peter Stahlecker
Download or read book Approximate linear minimax estimation in regression analysis with ellipsoidal constraints written by Peter Stahlecker and published by . This book was released on 1987 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Approximate Confidence Regions for Constraint Parameters by : Stanford University. Department of Statistics
Download or read book Approximate Confidence Regions for Constraint Parameters written by Stanford University. Department of Statistics and published by . This book was released on 1969 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.