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This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results w...Lees meer
This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008. T...Lees meer
This book contains new aspects of model diagnostics in time series analysis, including variable selection problems and higher-order asymptotics of tes...Lees meer
This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both intro...Lees meer
This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it...Lees meer
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolut...Lees meer
In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time ...Lees meer
This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers under...Lees meer
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...Lees meer
This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random quantities, and on phenomena ...Lees meer
Covers the constructions of optimal experimental designs comprehensively Provides a novel framework for understanding optimal designs, based on the th...Lees meer
Provides an accessible collection of recently developed nonparametric smoothing techniques for estimation and testing procedures Explores the statisti...Lees meer