Advances in the Statistical Sciences: Foundations of Statistical Inference, I.B. MacNeill; G. Umphrey
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: Proceedings of an International Rersearch Colloquium held at the University of Western Ontario, London, Canada, 10-13 May, 1973
Автор: Richard Dykstra; Tim Robertson; Farrol T. Wright Название: Advances in Order Restricted Statistical Inference ISBN: 0387964193 ISBN-13(EAN): 9780387964195 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: a small conference on order restricted inference was held at the University of Iowa in Iowa City in April of 1981. There were thirty-five participants and twenty presentations on a wide variety of topics dealing with order restricted inference at the second conference.
Автор: Jean-Louis Auget; N. Balakrishnan; Mounir Mesbah; Название: Advances in Statistical Methods for the Health Sciences ISBN: 0817643680 ISBN-13(EAN): 9780817643683 Издательство: Springer Рейтинг: Цена: 23751.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics.
The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.
Описание: On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V.
Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.
Автор: Hang Lee Название: Foundations of Applied Statistical Methods ISBN: 3319347241 ISBN-13(EAN): 9783319347240 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Driven by real-world examples, this book covers applied statistical methods in a concise and easily accessible way. Coverage includes essential probability models, inference of means, proportions, correlations and regressions, and sample size determination.
Автор: Masanobu Taniguchi; Tomoyuki Amano; Hiroaki Ogata; Название: Statistical Inference for Financial Engineering ISBN: 3319034960 ISBN-13(EAN): 9783319034966 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- Features of Financial Data.- Empirical Likelihood Approaches for Financial Returns.- Various Methods for Financial Engineering.- Some Techniques for ARCH Financial Time Series.- Index.
Автор: Bernhard Schipp; Walter Kr?mer Название: Statistical Inference, Econometric Analysis and Matrix Algebra ISBN: 3790825778 ISBN-13(EAN): 9783790825770 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of essays that extends the frontiers of knowledge in econometrics as well as classical fields of statistical inference. It presents advances in stochastic processes, in the design of experiments and in the analysis of variance. It provides insights into advanced approaches in quantitative methods.
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