Tous les ebooks de la collection "SpringerBriefs in Statistics" - Springer

119 Livre(s)


Ajouter à ma liste d'envies Minimum Gamma-Divergence for Regression and Classification Problems Shinto Eguchi This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008. The gamma-divergence has been extensively explored to provide robust estimation when the power index ? is positive. The... Editeur : Springer Parution : 2025-03-11 Collection : SpringerBriefs in Statistics PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Identifiability and Regression Analysis of Biological Systems Models Paola Lecca This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives. It begins by providing a definition of complexity in dynamic systems,... Editeur : Springer Parution : 2024-11-09 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Stein Estimation Tatsuya Kubokawa , Yuzo Maruyama , William E. Strawderman This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution. The book begins with a brief discussion of basic notions and results from decision theory such as admissibility, minimaxity, and... Editeur : Springer Parution : 2023-09-29 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Closure Properties for Heavy-Tailed and Related Distributions Dimitrios Konstantinides , Remigijus Leipus , Jonas Šiaulys This book provides a compact and systematic overview of closure properties of heavy-tailed and related distributions, including closure under tail equivalence, convolution, finite mixing, maximum, minimum, convolution power and convolution roots, and product-convolution... Editeur : Springer Parution : 2023-09-14 Collection : SpringerBriefs in Statistics PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies ANOVA with Dependent Errors Collectif This book presents the latest results related to one- and two-way models for time series data. Analysis of variance (ANOVA) is a classical statistical method for IID data proposed by R.A. Fisher to investigate factors and interactions of phenomena. In contrast, the... Editeur : Springer Parution : 2023-07-17 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Statistical Inference Based on Kernel Distribution Function Estimators Rizky Reza Fauzi , Yoshihiko Maesono This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. The inferences involve matters such as quantile estimation, nonparametric tests, and mean residual life expectation, to name just some. Convergence rates... Editeur : Springer Parution : 2023-05-31 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Stochastic Volatility and Realized Stochastic Volatility Models Yasuhiro Omori , Makoto Takahashi , Toshiaki Watanabe This treatise delves into the latest advancements in stochastic volatility models, highlighting the utilization of Markov chain Monte Carlo simulations for estimating model parameters and forecasting the volatility and quantiles of financial asset returns. The modeling... Editeur : Springer Parution : 2023-04-18 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Selected Payout Products of the Old-Age Pension Saving Scheme Igor Kollár , Jana Špirková , Gábor Szucs , Pavel Zimmermann This book discusses the payout phase of the old-age pension saving scheme, the so-called effective premium, and offers detailed actuarial models and analyses of five old-age pension saving products used in practice. These include the basic permanent monthly annuity,... Editeur : Springer Parution : 2023-02-21 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Mixed-Effects Models and Small Area Estimation Tatsuya Kubokawa , Shonosuke Sugasawa This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter... Editeur : Springer Parution : 2023-02-02 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Probabilistic Risk Analysis and Bayesian Decision Theory Mark Brewer , Marcel Van Oijen The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions... Editeur : Springer Parution : 2022-11-23 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Statistical Causal Discovery: LiNGAM Approach Shohei Shimizu This is the first book to provide a comprehensive introduction to a new semiparametric causal discovery approach known as LiNGAM, with the fundamental background needed to understand it. It offers a general overview of the basics of the LiNGAM approach for causal... Editeur : Springer Parution : 2022-09-04 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate Tejas A. Desai This book discusses important applications of the Behrens-Fisher statistic and the False Discovery Rate (FDR). Covered applications include ANOVA and MANOVA under potentially non-normal errors and heteroscedasticity; and an intuitive method of analyzing s x r... Editeur : Springer Parution : 2022-06-16 Collection : SpringerBriefs in Statistics PDF, ePub 42,19 € PDF ePub
Ajouter à ma liste d'envies Multiple Comparisons for Bernoulli Data Taka-Aki Shiraishi This book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli responses. First, the author explains the one-sample and two-sample methods that form the basis of multiple comparisons. Then, regularity conditions are stated in detail.... Editeur : Springer Parution : 2022-05-31 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree Yoshifumi Muroi This book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus. It also shows that applications of the discrete Malliavin calculus approach to the binomial tree model offer... Editeur : Springer Parution : 2022-04-17 Collection : SpringerBriefs in Statistics PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Lectures on Dependency Thorsten Dickhaus This short book elaborates on selected aspects of stochastic-statistical dependencies in multivariate statistics. Each chapter provides a rigorous and self-contained treatment of one specific topic, poses a particular problem within its scope, and concludes by... Editeur : Springer Parution : 2022-03-11 Collection : SpringerBriefs in Statistics PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Asymptotic Statistics in Insurance Risk Theory Yasutaka Shimizu This book begins with the fundamental large sample theory, estimating ruin probability, and ends by dealing with the latest issues of estimating the Gerber–Shiu function. This book is the first to introduce the recent development of statistical methodologies in... Editeur : Springer Parution : 2022-01-21 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Event Attendance Prediction in Social Networks Guohong Cao , Xiaomei Zhang This volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting... Editeur : Springer Parution : 2022-01-01 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Uncertainty in Engineering Louis J. M. Aslett , Frank P. A. Coolen , Jasper De Bock This open access book provides an introduction to uncertainty quanti?cation in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and... Editeur : Springer Parution : 2021-12-09 Collection : SpringerBriefs in Statistics PDF, ePub Gratuit PDF ePub
Ajouter à ma liste d'envies Multivariate Exponential Families: A Concise Guide to Statistical Inference Stefan Bedbur , Udo Kamps This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise... Editeur : Springer Parution : 2021-10-07 Collection : SpringerBriefs in Statistics PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies Bayesian Optimization with Application to Computer Experiments Herbert K. H. Lee , Tony Pourmohamad This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better... Editeur : Springer Parution : 2021-10-04 Collection : SpringerBriefs in Statistics PDF, ePub 68,56 € PDF ePub
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