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OverviewFull Product DetailsAuthor: Yan Liu , Fumiya Akashi , Masanobu TaniguchiPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 2018 ed. Weight: 0.454kg ISBN: 9789811001512ISBN 10: 9811001510 Pages: 136 Publication Date: 17 December 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1. Introduction to Nonstandard Analysis in Time Series Analysis.- Chapter 2. Parameter Estimation by Quantile Prediction Error.- Chapter 3. Hypotheses Testing by Generalized Empirical Likelihood for Stable Processes.- Chapter 4. Higher Order Efficiency of Generalized Empirical Likelihood for Dependent Data.- Chapter 5. Robust Aspects of Empirical Likelihood for Unified Prediction Error.- Chapter 6. Applications.ReviewsThe book is devoted to some questions of statistical inference for time series models. ... The book can be useful for researches who are interested in time series analysis and statistical inference. (Jonas Siaulys, zbMath 1418.62012, 2019) Author InformationYan Liu, Dr., Waseda University, y.liu2@kurenai.waseda.jp, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan Fumiya Akashi, Dr., Waseda University, f.akashi@kurenai.waseda.jp, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan Masanobu Taniguchi, Professor, Research Importance Position, Research Institute for Science & Engineering, Waseda University, taniguchi@waseda.jp, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan Tab Content 6Author Website:Countries AvailableAll regions |