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

113 Livre(s)


Ajouter à ma liste d'envies Singular Spectrum Analysis for Time Series Nina Golyandina , Anatoly Zhigljavsky This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal... Editeur : Springer Parution : 2020-11-23 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Regression Models for the Comparison of Measurement Methods Heleno Bolfarine , Mário De Castro , Manuel Galea This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others – a problem commonly found in fields like analytical chemistry, biology, engineering, and medicine.... Editeur : Springer Parution : 2020-10-27 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Person-Centered Methods Mark Stemmler This book offers a comprehensible overview of the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or... Editeur : Springer Parution : 2020-08-13 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Statistics Based on Dirichlet Processes and Related Topics Hajime Yamato This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the Bayes estimate to obtain limits for the estimable parameter. It presents the limits and the... Editeur : Springer Parution : 2020-07-17 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Copula-Based Markov Models for Time Series Collectif This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other disciplines to illustrate the... Editeur : Springer Parution : 2020-07-01 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Non-Asymptotic Analysis of Approximations for Multivariate Statistics Yasunori Fujikoshi , Vladimir V. Ulyanov This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on... Editeur : Springer Parution : 2020-06-28 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Shrinkage Estimation for Mean and Covariance Matrices Tatsuya Kubokawa , Hisayuki Tsukuma This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal distribution models. More specifically, it presents recent techniques and results in estimation of mean and covariance matrices with a high-dimensional setting that... Editeur : Springer Parution : 2020-04-16 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Identifiability and Regression Analysis of Biological Systems Models Paola Lecca This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models. The book first provides a definition of complexity in dynamic systems by... Editeur : Springer Parution : 2020-03-05 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Statistical Analysis of Operational Risk Data Danilo Carità , Giovanni De Luca , Francesco Martinelli This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source of bank risk, after market and credit risk. The book shows that a careful statistical analysis can improve the results of the popular... Editeur : Springer Parution : 2020-02-24 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Time Series Analysis Using SAS Enterprise Guide Timina Liu , Shuangzhe Liu , Lei Shi This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step... Editeur : Springer Parution : 2020-02-19 Collection : SpringerBriefs in Statistics PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies Bayesian Analysis of Demand Under Block Rate Pricing Koji Miyawaki This book focuses on the structural analysis of demand under block rate pricing, a type of nonlinear pricing used mainly in public utility services. In this price system, consumers are presented with several unit prices, which makes a naive analysis biased. However, the... Editeur : Springer Parution : 2019-12-16 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Pairwise Multiple Comparisons Shin-Ichi Matsuda , Taka-Aki Shiraishi , Hiroshi Sugiura This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows... Editeur : Springer Parution : 2019-09-30 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Euclidean Design Theory Masatake Hirao , Sanpei Kageyama , Masanori Sawa This book is the modern first treatment of experimental designs, providing a comprehensive introduction to the interrelationship between the theory of optimal designs and the theory of cubature formulas in numerical analysis. It also offers original new ideas for... Editeur : Springer Parution : 2019-07-23 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Statistical Methods for Imbalanced Data in Ecological and Biological Studies Shinto Eguchi , Osamu Komori This book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced data in prediction and classification, and also in that it introduces several of the latest statistical methods of dealing with these... Editeur : Springer Parution : 2019-07-02 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Dose-Finding Designs for Early-Phase Cancer Clinical Trials Takashi Daimon , Akihiro Hirakawa , Shigeyuki Matsui This book provides a comprehensive introduction to statistical methods for designing early phase dose-finding clinical trials. It will serve as a textbook or handbook for graduate students and practitioners in biostatistics and clinical investigators who are involved in... Editeur : Springer Parution : 2019-05-21 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Analysis of Doubly Truncated Data Achim Dörre , Takeshi Emura This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These... Editeur : Springer Parution : 2019-05-13 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Survival Analysis with Correlated Endpoints Takeshi Emura , Shigeyuki Matsui , Virginie Rondeau This book introduces readers to advanced statistical methods for analyzing survival data involving correlated endpoints. In particular, it describes statistical methods for applying Cox regression to two correlated endpoints by accounting for dependence between the... Editeur : Springer Parution : 2019-03-25 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Longitudinal Data Analysis Ikuko Funatogawa , Takashi Funatogawa This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data... Editeur : Springer Parution : 2019-02-04 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Model Averaging David Fletcher This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology,... Editeur : Springer Parution : 2019-01-17 Collection : SpringerBriefs in Statistics PDF, ePub 73,84 € PDF ePub
Ajouter à ma liste d'envies Empirical Likelihood and Quantile Methods for Time Series Fumiya Akashi , Yan Liu , Masanobu Taniguchi This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the point of view of efficiency but also from that of robustness and optimality by minimizing... Editeur : Springer Parution : 2018-12-05 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
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