Sample Surveys: Inference And Analysis,29B, Pfeffermann, Danny
Автор: Box, George E. P. Tiao, George C. Название: Bayesian inference in statistical analysis ISBN: 0471574287 ISBN-13(EAN): 9780471574286 Издательство: Wiley Рейтинг: Цена: 169960.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Designed to form the basis of a graduate course on Bayesian inference, this textbook discusses important general issues of the Bayesian approach. It investigates problems, illustrating the appropriate analysis of mathematical results with numerical examples.
Автор: Mavrakakis Название: Modelling, Inference and Data Analysis ISBN: 158488939X ISBN-13(EAN): 9781584889397 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covers aspects of probability, distribution theory and random processes that are fundamental to a proper understanding of inference. This book discusses the properties of estimators constructed from a random sample of ends, with sections on methods for estimating parameters in time series models.
Автор: Chiara Brombin; Luigi Salmaso; Lara Fontanella; Lu Название: Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications ISBN: 3319263102 ISBN-13(EAN): 9783319263106 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests.
Автор: Siu-Kui Au Название: Operational Modal Analysis ISBN: 9811041172 ISBN-13(EAN): 9789811041174 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications.
Автор: Le Roux Название: Combinatorial Inference In Geometri ISBN: 1498781616 ISBN-13(EAN): 9781498781619 Издательство: Taylor&Francis Рейтинг: Цена: 112290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework.
Автор: Clarke, Bertrand S. (university Of Nebraska, Lincoln) Clarke, Jennifer L. (university Of Nebraska, Lincoln) Название: Predictive statistics ISBN: 1107028280 ISBN-13(EAN): 9781107028289 Издательство: Cambridge Academ Рейтинг: Цена: 83430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and `black box` settings, with computed examples.
Автор: Hans-Martin Krolzig Название: Markov-Switching Vector Autoregressions ISBN: 3540630732 ISBN-13(EAN): 9783540630739 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contributes to re cent developments on the statistical analysis of multiple time series in the presence of regime shifts. This study is intended to provide a systematic and operational ap- proach to the econometric modelling of dynamic systems subject to shifts in regime, based on the Markov-switching vector autoregressive model.
Автор: Bernhard Schipp; Walter Kr?mer Название: Statistical Inference, Econometric Analysis and Matrix Algebra ISBN: 3790825778 ISBN-13(EAN): 9783790825770 Издательство: Springer Рейтинг: Цена: 172350.00 T 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.
Автор: Olga Moreira Название: Probabilistic Inference and Statistical Methods in Network Analysis ISBN: 1773615556 ISBN-13(EAN): 9781773615554 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 175560.00 T Наличие на складе: Невозможна поставка. Описание: Examines various aspects of network analysis and analysis of several dimensions of probabilistic inferences. The book includes an in-depth social network analysis of clinical education of diabetic foot, and also online social network software.
Автор: Siu-Kui Au Название: Operational Modal Analysis ISBN: 9811350531 ISBN-13(EAN): 9789811350535 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications.
Автор: Fred J. Hickernell, Peter Kritzer Название: Multivariate Algorithms and Information-Based Complexity ISBN: 3110633116 ISBN-13(EAN): 9783110633115 Издательство: Walter de Gruyter Цена: 128870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.
The books of this series are addressed to both specialists and advanced students.
Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.
Managing Editor Ulrich Langer, RICAM, Linz, Austria; Johannes Kepler University Linz, Austria
Автор: Xiong, Momiao (university Of Texas School Of Public Health, Usa) Название: Big data in omics and imaging ISBN: 1032095237 ISBN-13(EAN): 9781032095233 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Нет в наличии. Описание: Emerging genomic, epigenomic, sensing and image technologies will produce massive, dimensional genomic, epigenomic, physiological, image and clinical data. The book is designed to introduce the currently developed statistical methods and software for big genomic and epigenomic data analysis.
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