Selecting and Ordering Populations: A New Statistical Methodology, Jean Dickinson Gibbons, Ingram Olkin, Milton Sobel
Автор: P. Cheeseman; R.W. Oldford Название: Selecting Models from Data ISBN: 0387942815 ISBN-13(EAN): 9780387942810 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data;
Автор: Gabriele Eichfelder Название: Variable Ordering Structures in Vector Optimization ISBN: 3662525518 ISBN-13(EAN): 9783662525517 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1 Variable ordering structures.- 2 Optimality concepts and their characterization.- 3 Properties of cone-valued maps.- 4 Linear scalarizations.- 5 Nonlinear scalarizations.- 6 Scalarization for variable orderings given by Bishop-Phelps cones.- 7 Optimality conditions.- 8 Duality results.- 9 Numerical methods.- 10 Outlook and further application areas.
Автор: R. Szekli Название: Stochastic Ordering and Dependence in Applied Probability ISBN: 0387944508 ISBN-13(EAN): 9780387944500 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook has been designed as an introduction to stochastic orderings and dependence, and their applications to queues and the networks of queues. It is assumed that readers have a firm grounding in Lebesgue measure, conditional expectation and martingales.
Автор: Morten Fagerland Название: Statistical Analysis of Contingency Tables ISBN: 1466588179 ISBN-13(EAN): 9781466588172 Издательство: Taylor&Francis Рейтинг: Цена: 107190.00 T Наличие на складе: Нет в наличии. Описание: This book is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables.
Автор: Atanu Sengupta; Tapan Kumar Pal Название: Fuzzy Preference Ordering of Interval Numbers in Decision Problems ISBN: 3642100600 ISBN-13(EAN): 9783642100604 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text studies different real decision situations where problems are defined in inexact environment. It presents the latest research in fuzzy preference ordering of interval numbers and modeling of interval decision problems.
Автор: Gabriele Eichfelder Название: Variable Ordering Structures in Vector Optimization ISBN: 3642542824 ISBN-13(EAN): 9783642542824 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Variable Ordering Structures in Vector Optimization
Автор: Douglas S. Bridges; Ghanshyam B. Mehta Название: Representations of Preferences Orderings ISBN: 3540588396 ISBN-13(EAN): 9783540588399 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph is devoted to the representation of preference orderings by real-valued order isomorphisms ("utility functions"). The most significant theorems and methods in the field are examined in a manner that should interest all those researching partial orders and their representations.
Автор: Lance Charles E Название: More Statistical and Methodological Myths and Urban Legends ISBN: 0415838991 ISBN-13(EAN): 9780415838993 Издательство: Taylor&Francis Рейтинг: Цена: 53070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore.
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