Автор: S. Zlobec Название: Stable Parametric Programming ISBN: 0792371399 ISBN-13(EAN): 9780792371397 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimality and stability are two important notions in applied mathematics. This book is a study of these notions and their relationship in linear and convex parametric programming models. Written in an analytic spirit, it begins with a survey of basic optimality conditions in nonlinear programming.
Автор: Abdykappar A. Ashimov; Bahyt T. Sultanov; Zheksenb Название: Macroeconomic Analysis and Parametric Control of a National Economy ISBN: 1489999124 ISBN-13(EAN): 9781489999122 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Expanding on earlier work, this book explores both the mathematical apparatus and the scope of problems and applications stemming from the practice of steering the economy of a small country in the dynamic environment of the international economic order.
Автор: Abdykappar A. Ashimov; Bahyt T. Sultanov; Zheksenb Название: Macroeconomic Analysis and Economic Policy Based on Parametric Control ISBN: 1489987207 ISBN-13(EAN): 9781489987204 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume offers a novel, highly mathematical approach to the solution of very realistic economy control problems. It presents strong examples of the application of mathematical modeling, advanced control theory, and model-based decision making that could be adopted by researchers and graduate students.
Автор: Fan Jianqing, Yao Qiwei Название: Nonlinear Time Series / Nonparametric and Parametric Methods ISBN: 0387261427 ISBN-13(EAN): 9780387261423 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the contemporary statistical methods and theory of nonlinear time series analysis. The principal focus is on nonparametric and semiparametric techniques developed in the last decade. It covers the techniques for modelling in state-space, in frequency-domain as well as in time-domain. To reflect the integration of parametric and nonparametric methods in analyzing time series data, the book also presents an up-to-date exposure of some parametric nonlinear models, including ARCH/GARCH models and threshold models. A compact view on linear ARMA models is also provided. Data arising in real applications are used throughout to show how nonparametric approaches may help to reveal local structure in high-dimensional data. Important technical tools are also introduced. The book will be useful for graduate students, application-oriented time series analysts, and new and experienced researchers. It will have the value both within the statistical community and across a broad spectrum of other fields such as econometrics, empirical finance, population biology and ecology. The prerequisites are basic courses in probability and statistics. Jianqing Fan, coauthor of the highly regarded book Local Polynomial Modeling, is Professor of Statistics at the University of North Carolina at Chapel Hill and the Chinese University of Hong Kong. His published work on nonparametric modeling, nonlinear time series, financial econometrics, analysis of longitudinal data, model selection, wavelets and other aspects of methodological and theoretical statistics has been recognized with the Presidents' Award from the Committee of Presidents of Statistical Societies, the Hettleman Prize for Artistic and Scholarly Achievement from the University of North Carolina, and by his election as a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an elected member of the International Statistical Institute, and has served on the editorial boards for the Journal of the Royal Statistical Society (Series B) and the Australian and New Zealand Journal of Statistics.
Автор: Tomas Gal; H.J. Greenberg Название: Advances in Sensitivity Analysis and Parametric Programming ISBN: 079239917X ISBN-13(EAN): 9780792399179 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents qualitative sensitivity analysis, as well as elements of mixed integer programming and gives a perspective of nonlinear programming. This book shows results using the optimal partition approach, stemming from interior methods, for both linear and quadratic programming. It also examines the special case of network models.
Автор: Tomas Gal; H.J. Greenberg Название: Advances in Sensitivity Analysis and Parametric Programming ISBN: 146137796X ISBN-13(EAN): 9781461377962 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields.
Автор: PARAMETRIC; BROSOWSKI; DEUTSCH Название: Parametric Optimization and Approximation ISBN: 3034862555 ISBN-13(EAN): 9783034862554 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume introduces a variety of combined parametric-nonparametric algorithms aimed at resolving problems with block-oriented non-linear dynamic system identification in the presence of random disturbances. It includes analysis of their limit properties.
Автор: Kanife Paul Obiora Название: Computer Aided Virtual Manufacturing Using Creo Parametric ISBN: 3319233580 ISBN-13(EAN): 9783319233581 Издательство: Springer Рейтинг: Цена: 13060.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computer Aided Virtual Manufacturing Using Creo Parametric
Автор: Ulhas Jayram Dixit Название: Examples in Parametric Inference with R ISBN: 9811008884 ISBN-13(EAN): 9789811008887 Издательство: Springer Рейтинг: Цена: 9362.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is divided into eight chapters: Chapter 1 provides an overview of topics on sufficiency and completeness, while Chapter 2 briefly discusses unbiased estimation. Chapter 6 discusses Bayes, while Chapter 7 studies some more powerful tests.
Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis and related fields.
Specific topics covered include:
* non-parametric estimation of lifetimes of subjects exposed to radiation
* statistical analysis of simultaneous degradation-mortality data with covariates of the aged
* estimation of maintenance efficiency in semiparametric imperfect repair models
* cancer prognosis using survival forests
* short-term health problems related to air pollution: analysis using semiparametric generalized additive models
* parametric models in accelerated life testing and fuzzy data
* semiparametric models in the studies of aging and longevity
This book will be of use as a reference text for general statisticians, theoreticians, graduate students, reliability engineers, health researchers, and biostatisticians working in applied probability and statistics.
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