Distribution-Free Statistical Methods, Second Edition, Maritz, J.S.

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
Рейтинг:
Цена: 76850.00 T
Наличие на складе: Ожидается поступление.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Koutras Markos V., Triantafyllou Ioannis S.
Название: Distribution-Free Methods for Statistical Process Monitoring and Control
ISBN: 3030250806 ISBN-13(EAN): 9783030250805
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes.

Автор: Koutras Markos V., Triantafyllou Ioannis S.
Название: Distribution-Free Methods for Statistical Process Monitoring and Control
ISBN: 3030250830 ISBN-13(EAN): 9783030250836
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes.

Автор: Karian, Zaven A. , Dudewicz, Edward J.
Название: Fitting Statistical Distributions
ISBN: 0367398613 ISBN-13(EAN): 9780367398613
Издательство: Taylor&Francis
Рейтинг:
Цена: 65320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems. For a specific application, which of the dozens of distributions should one use? What if none of them fit well?

Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist.

Regardless of your specific field-physical science, social science, or statistics, practitioner or theorist-Fitting Statistical Distributions is required reading. It includes wide-ranging applications illustrating the methods in practice and offers proofs of key results for those involved in theoretical development. Without it, you may be using obsolete methods, wasting time, and risking incorrect results.

Автор: Chhikara, Raj
Название: The Inverse Gaussian Distribution
ISBN: 0367451263 ISBN-13(EAN): 9780367451264
Издательство: Taylor&Francis
Рейтинг:
Цена: 63280.00 T
Наличие на складе: Невозможна поставка.
Описание: This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users of statistical distribution.

Автор: Balakrishnan, N.
Название: Handbook of the Logistic Distribution
ISBN: 0367450453 ISBN-13(EAN): 9780367450458
Издательство: Taylor&Francis
Рейтинг:
Цена: 63280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights various theoretical developments on logistic distribution, illustrates the practical utility of these results, and describes univariate and multivariate generalizations of the distribution. It is useful for researchers, practicing statisticians, and graduate students.

Автор: Westfall, Peter , Arias, Andrea L.
Название: Understanding Regression Analysis
ISBN: 0367458527 ISBN-13(EAN): 9780367458522
Издательство: Taylor&Francis
Рейтинг:
Цена: 132710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks and decision trees under a common umbrella; namely, the conditional distribution model.

Автор: Westfall, Peter , Arias, Andrea L.
Название: Understanding Regression Analysis
ISBN: 0367493519 ISBN-13(EAN): 9780367493516
Издательство: Taylor&Francis
Рейтинг:
Цена: 43890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks and decision trees under a common umbrella; namely, the conditional distribution model.

Автор: Karian, Zaven A.
Название: Fitting Statistical Distributions
ISBN: 1584880694 ISBN-13(EAN): 9781584880691
Издательство: Taylor&Francis
Рейтинг:
Цена: 183750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
Рейтинг:
Цена: 102080.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.

Автор: Deshpande Jayant V & Purohit Sudha G
Название: Lifetime Data: Statistical Models And Methods (Second Edition)
ISBN: 9814730661 ISBN-13(EAN): 9789814730662
Издательство: World Scientific Publishing
Цена: 68640.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book.

This new edition includes new sections on Frailty Models and Accelerated Life Time Models. Many more illustrations and exercises are also included.

Автор: Zucchini
Название: Hidden Markov Models for Time Series
ISBN: 1482253836 ISBN-13(EAN): 9781482253832
Издательство: Taylor&Francis
Рейтинг:
Цена: 93910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition.