Описание: Presents elaborate tables of moments of order statistics as well as BLUES based on complete and censored samples for lognormal distributions. This title includes various illustrative examples for the different uses of these tables pertaining to inference and prediction.
Автор: Albert W. Marshall; Ingram Olkin Название: Life Distributions ISBN: 1441919112 ISBN-13(EAN): 9781441919113 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is devoted to the study of univariate distributions appropriate for the analyses of data known to be nonnegative. The book includes much material from reliability theory in engineering and survival analysis in medicine.
Описание: Presents elaborate tables of moments of order statistics as well as BLUES based on complete and censored samples for lognormal distributions. This book includes various illustrative examples for the different uses of these tables pertaining to inference and prediction.
Автор: Crow, Edwin L. Название: Lognormal Distributions ISBN: 0824778030 ISBN-13(EAN): 9780824778033 Издательство: Taylor&Francis Рейтинг: Цена: 39811.00 р. Наличие на складе: Поставка под заказ.
Автор: Schweder Название: Confidence, Likelihood, Probability ISBN: 0521861608 ISBN-13(EAN): 9780521861601 Издательство: Cambridge Academ Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.
Автор: Abdelhamid Hassairi Название: Riesz Probability Distributions ISBN: 311071325X ISBN-13(EAN): 9783110713251 Издательство: Walter de Gruyter Рейтинг: Цена: 26954.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The De Gruyter Series in Probability and Stochastics is devoted to the publication of high-level monographs and specialized graduate texts in any branch of modern probability theory and stochastics, along with their numerous applications in other parts of mathematics, physics and informatics, in economics and finance, and in the life sciences.
The aim of the series is to present recent research results in the form of authoritative and comprehensive works that will serve the probability and stochastics community as basis for further research.
Editorial Board
Itai Benjamini, Weizmann Institute of Science, Israel Jean Bertoin, Universitat Zurich, Switzerland Michel Ledoux, Universite de Toulouse, France Rene L. Schilling, Technische Universitat Dresden, Germany
Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.
Автор: Johnson, N.L. Название: Continuous Univariate Distributions ISBN: 0471584959 ISBN-13(EAN): 9780471584957 Издательство: Wiley Рейтинг: Цена: 36424.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a detailed description of the statistical distributions that are commonly used in various applied areas, such as engineering, business, economics and the behavioural, biological and environmental sciences. It covers general and specific continuous distributions.
Автор: Johnson, N.L. Название: Continuous Univariate Distributions ISBN: 0471584940 ISBN-13(EAN): 9780471584940 Издательство: Wiley Рейтинг: Цена: 36424.00 р. Наличие на складе: Поставка под заказ.
Описание: This volume presents a detailed description of the statistical distributions that are commonly applied to such fields as engineering, business, economics and the behavioural, biological and environmental sciences.
Автор: Harville David A. Название: Linear Models and the Relevant Distributions and Matrix Algebra ISBN: 0367572036 ISBN-13(EAN): 9780367572037 Издательство: Taylor&Francis Рейтинг: Цена: 6583.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using linear statistical models as a basis for statistical inference and the theoretical underpinnings of resultant inferential procedures. Includes topics typically covered less extensively; prediction, multiple-comparison procedures for controlling FDR, spherical/elliptical distributions.
Автор: Alexander I. Saichev; Wojbor A. woyczy?ski Название: Distributions in the Physical and Engineering Sciences, Volume 3 ISBN: 3030064670 ISBN-13(EAN): 9783030064679 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Continuing the authors’ multivolume project, this text considers the theory of distributions from an applied perspective, demonstrating how effective a combination of analytic and probabilistic methods can be for solving problems in the physical and engineering sciences. Volume 1 covered foundational topics such as distributional and fractional calculus, the integral transform, and wavelets, and Volume 2 explored linear and nonlinear dynamics in continuous media. With this volume, the scope is extended to the use of distributional tools in the theory of generalized stochastic processes and fields, and in anomalous fractional random dynamics.
Chapters cover topics such as probability distributions; generalized stochastic processes, Brownian motion, and the white noise; stochastic differential equations and generalized random fields; Burgers turbulence and passive tracer transport in Burgers flows; and linear, nonlinear, and multiscale anomalous fractional dynamics in continuous media. The needs of the applied-sciences audience are addressed by a careful and rich selection of examples arising in real-life industrial and scientific labs and a thorough discussion of their physical significance. Numerous illustrations generate a better understanding of the core concepts discussed in the text, and a large number of exercises at the end of each chapter expand on these concepts.
Distributions in the Physical and Engineering Sciences is intended to fill a gap in the typical undergraduate engineering/physical sciences curricula, and as such it will be a valuable resource for researchers and graduate students working in these areas. The only prerequisites are a three-four semester calculus sequence (including ordinary differential equations, Fourier series, complex variables, and linear algebra), and some probability theory, but basic definitions and facts are covered as needed. An appendix also provides background material concerning the Dirac-delta and other distributions.
Автор: Rigby, Robert A. Stasinopoulos, Mikis D. Heller, Gillian Z. De Bastiani, Fernanda Название: Distributions for Modeling Location, Scale, and Shape ISBN: 1032089423 ISBN-13(EAN): 9781032089423 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the second volume in a series of books about using the GAMLSS R package developed by the authors. This volume presents a broad overview of statistical distributions and how they can be used in practical applications.
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