Mathematical Statistics
-
Mathematical Statistics: A Decision Theoretic Approach
By Thomas S. Fergusonchange of location, ge(x1, . . ., xn) = (x1 + c, . . ., an + c), and a maximal invariant is Y = (Y1, ... we are testing a simple hypothesis against a simple alternative, a problem that can be solved by the Neyman–Pearson lemma.
-
Mathematical Statistics: An Introduction to Likelihood Based Inference
By Richard J. RossiExample 2.59 Let X1, ..., X, be independent random variables with Var(X) = o;. Then, the covariance matrix associated with X is o; 0 0 O 0 of 0 O >x = | 0 0 a. O 0 0 0 . . . of When X1,X2,..., X, are iid random variables, the covariance ...
-
Mathematical Statistics
By Jun ShaoThis new edition has been revised and updated and in this fourth printing, errors have been ironed out.
-
Mathematical Statistics
By Dieter Rasch, Dieter SchottExplores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests.
-
Mathematical Statistics
By Keith KnightTraditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors developed in the 1940s and50s, and not particularly relevant to statistical practice.
-
Mathematical Statistics: A Unified Introduction
By George R. TerrellThe book is committed to both a high level of mathematical seriousness and to an intimate connection with application. In its teaching style, the book is * mathematically complete * concrete * constructive * active.
-
Mathematical Statistics: An Introduction to Likelihood Based Inference
By Richard J. RossiPresents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function This book addresses mathematical statistics for upper ...
-
Mathematical Statistics: Exercises and Solutions
By Jun ShaoIf this book is used with a statistics textbook that does not include probability theory, then knowledge in measure-theoretic probability theory is required. Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.
-
Mathematical Statistics: Problems and Detailed Solutions
By Wiebe R. Pestman, Ivo B. AlberinkMathematical Statistics: Problems and Detailed Solutions
-
Mathematical Statistics
By Dieter Rasch, Dieter Schottz(0.5) z(1–α) β α –2.5 –2 –1.5 –1 –0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 μ0=0 μ1 =2 Figure 3.1 Density functions of the ... In this case usually the test statistic z= y−μσ0n is applied where y is the mean taken from the random sample Y of size ...
-
Mathematical Statistics
By John E. FreundThis book emphasizes the theory of mathematical statistics while using applications and precise language to help illustrate points and motivate students. This new edition features exercises throughout each chapter; presents...
-
Mathematical Statistics
By Jun ShaoIn addition to improving the presentation, the new edition makes Chapter 1 a self-contained chapter for probability theory with emphasis in statistics.
-
Mathematical Statistics
By Jagat Narain Kapur, H. C. SaxenaMathematical Statistics
-
Mathematical Statistics: Asymptotic Minimax Theory
By Olga Korosteleva, Aleksandr Petrovich KorostelevThe lessons in iPositive work in much the same way: They challenge the reader to work to keep the mind in shape. The book is a powerful guide to personal happiness through positivity.
-
Mathematical Statistics
By A A BorokovChibisov D. M., On agreement tests based on sample intervals, Probability Theory and its Applications 6 (1961), no. 1, 354-358. 28. Chibisov D. M., Transition to the limiting process for deriving asymptotically optimal tests, ...
-
Mathematical Statistics: Basic Ideas and Selected Topics
By Kjell A. Doksum, Peter J. BickelThe solutions to exercises for Volume II are included in the back of the book. Check out Volume I for fundamental, classical statistical concepts leading to the material in this volume.
-
Mathematical Statistics
By Wiebe R. PestmanThis textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing, normal regression analysis, and normal analysis of variance.
-
Mathematical Statistics: Essays on History and Methodology
By Johann PfanzaglEssays on History and Methodology Johann Pfanzagl. 3.12 Pitman Closeness Given a concept of concentration (of a probability measure Q|B about 0) it is natural to evaluate the accuracy of an estimator k by the concentration of Po (k — k(P)) ...
-
Mathematical Statistics: Basic Ideas and Selected Topics
By Kjell A. Doksum, Peter J. BickelWe now have an updated printing! Find more information at: http://vig.prenhall.com/catalog/academic/product/0,1144,0132306379,00.html. In response to feedback from faculty and students, some sections within the book have been rewritten. Also, a number...
-
Mathematical Statistics
By John E. Freund, Ronald E. WalpoleMathematical Statistics