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Author : Maurice George Kendall
Publisher : Unknown
Page : 456 pages
File Size : 43,8 Mb
Release : 1963
Category : Mathematical statistics
ISBN : STANFORD:36105033267787
Author : Maurice George Kendall,Alan Stuart
Publisher : Unknown
Page : 492 pages
File Size : 41,7 Mb
Release : 1977
Category : Mathematical statistics
ISBN : UCSD:31822016525727
V.1: Distribution theory; v.2: Inference and relationship; v.3: Design and analysis, and time-series.
Author : Maurice George Kendall
Publisher : Unknown
Page : 454 pages
File Size : 41,6 Mb
Release : 1963
Category : Mathematical statistics
ISBN : STANFORD:36105033267795
Author : Michiel Hazewinkel
Publisher : Springer Science & Business Media
Page : 620 pages
File Size : 50,8 Mb
Release : 1988
Category : Mathematics
ISBN : 1556080050
V.1. A-B v.2. C v.3. D-Feynman Measure. v.4. Fibonaccimethod H v.5. Lituus v.6. Lobachevskii Criterion (for Convergence)-Optical Sigman-Algebra. v.7. Orbi t-Rayleigh Equation. v.8. Reaction-Diffusion Equation-Stirling Interpolation Fo rmula. v.9. Stochastic Approximation-Zygmund Class of Functions. v.10. Subject Index-Author Index.
Author : Dieter Rasch,Günter Herrendörfer
Publisher : Springer Science & Business Media
Page : 218 pages
File Size : 43,9 Mb
Release : 1986-03-31
Category : Mathematics
ISBN : 9027716846
A heuristic introduction to experimental design; Optimum statistical experimental design as a branch of mathematical statistics; Definitios of the most important experimental designs; Properties and the construction of block designs; The nummber of nonisomorphic elementary bib in restricted; The analysis of block designs; The choice of optimal experimental designs; Appendix.
Author : I͡U. N. Linʹkov
Publisher : American Mathematical Soc.
Page : 346 pages
File Size : 45,5 Mb
Release : 2024-07-03
Category : Mathematics
ISBN : 0821889680
This volume is intended for the advanced study of several topics in mathematical statistics. The first part of the book is devoted to sampling theory (from one-dimensional and multidimensional distributions), asymptotic properties of sampling, parameter estimation, sufficient statistics, and statistical estimates. The second part is devoted to hypothesis testing and includes the discussion of families of statistical hypotheses that can be asymptotically distinguished. In particular,the author describes goodness-of-fit and sequential statistical criteria (Kolmogorov, Pearson, Smirnov, and Wald) and studies their main properties. The book is suitable for graduate students and researchers interested in mathematical statistics. It is useful for independent study or supplementaryreading.
Author : David Hankin,Michael S. Mohr,Kenneth B. Newman
Publisher : Oxford University Press, USA
Page : 360 pages
File Size : 43,8 Mb
Release : 2019-09-26
Category : Mathematics
ISBN : 9780198815792
Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion). Although a sound knowledge of sampling theory principles would seem essential for ecologists and natural resource scientists, the subject tends to be somewhat overlooked in contrast to other core statistical topics such as regression analysis, experimental design, and multivariate statistics. This introductory text aims to redress this imbalance by specifically targeting ecologists and resource scientists, and illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations, but some attention is given to model-based prediction and sampling from infinite populations.
Author : V. S. Pugachev
Publisher : Elsevier
Page : 469 pages
File Size : 49,7 Mb
Release : 2014-06-28
Category : Mathematics
ISBN : 9781483190501
Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability theory and mathematical statistics for finite-dimensional random variables. The book underscores the probabilities of events, random variables, and numerical characteristics of random variables. Discussions focus on canonical expansions of random vectors, second-order moments of random vectors, generalization of the density concept, entropy of a distribution, direct evaluation of probabilities, and conditional probabilities. The text then examines projections of random vectors and their distributions, including conditional distributions of projections of a random vector, conditional numerical characteristics, and information contained in random variables. The book elaborates on the functions of random variables and estimation of parameters of distributions. Topics include frequency as a probability estimate, estimation of statistical characteristics, estimation of the expectation and covariance matrix of a random vector, and testing the hypotheses on the parameters of distributions. The text then takes a look at estimator theory and estimation of distributions. The book is a vital source of data for students, engineers, postgraduates of applied mathematics, and other institutes of higher technical education.
Author : David G. Hankin,Michael S. Mohr,Kenneth B. Newman
Publisher : Oxford University Press
Page : 368 pages
File Size : 45,6 Mb
Release : 2019-09-26
Category : Mathematics
ISBN : 9780192547842
Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion). Although a sound knowledge of sampling theory principles would seem essential for ecologists and natural resource scientists, the subject tends to be somewhat overlooked in contrast to other core statistical topics such as regression analysis, experimental design, and multivariate statistics. This introductory text aims to redress this imbalance by specifically targeting ecologists and resource scientists, and illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations, but some attention is given to model-based prediction and sampling from infinite populations. Sampling Theory is an introductory textbook suitable for advanced undergraduates, graduate students, professional researchers, and practitioners in the fields of ecology, evolution, conservation biology, and natural resource sciences (including fisheries, wildlife, rangeland, ecology and forestry).
Author : A. C. Davison
Publisher : Cambridge University Press
Page : 1026 pages
File Size : 45,9 Mb
Release : 2003-08-04
Category : Mathematics
ISBN : 9781139437417
Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.
Author : Maurice George Kendall,Alan Stuart
Publisher : Unknown
Page : 572 pages
File Size : 51,8 Mb
Release : 1969
Category : Mathematical statistics
ISBN : UOM:39076006335900
Author : Anonim
Publisher : John Wiley & Sons
Page : 562 pages
File Size : 53,8 Mb
Release : 2005-12-16
Category : Mathematics
ISBN : 9780471744061
ENCYCLOPEDIA OF STATISTICAL SCIENCES
Author : Maurice George Kendall
Publisher : Unknown
Page : 576 pages
File Size : 47,7 Mb
Release : 1968
Category : Mathematical statistics
ISBN : MINN:31951D00157446F
Author : Alan Stuart,Keith Ord
Publisher : John Wiley & Sons
Page : 709 pages
File Size : 53,7 Mb
Release : 2010-02-22
Category : Mathematics
ISBN : 9780470665305
Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory is reflected in the history of the late Sir Maurice Kenfall's volumes, The Advanced Theory of Statistics. This landmark publication began life as a two-volume work and grew steadily as a single-authored work until the 1950s. In this edition, there is new material on skewness and kurtosis, hazard rate distribution, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. It also includes over 200 new references, 40 new exercises, and 20 further examples in the main text.
Author : Reinout Heijungs
Publisher : Springer Nature
Page : 1159 pages
File Size : 45,7 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9783031493171