A parametric approach to nonparametric statistics. (2018)

• Record Type: Book
• Further Information: Note: Mayer Alvo, Philip L. H. Yu.
• Authors: Alvo, Mayer; Yu, Philip. L. H
• Contents: I. Introduction and Fundamentals.- Introduction.- Fundamental Concepts in Parametric Inference.- II. Modern Nonparametric Statistical Methods.- Smooth Goodness of Fit Tests.- One-Sample and Two-Sample Problems.- Multi-Sample Problems.- Tests for Trend and Association.- Optimal Rank Tests.- Efficiency.- III. Selected Applications.- Multiple Change-Point Problems.- Bayesian Models for Ranking Data.- Analysis of Censored Data.- A. Description of Data Sets.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xiv, 279 pages), color illustrations
• Subjects: 519.5/4; Mathematics; Nonparametric statistics; Distribution (Probability theory); Mathematical statistics; Mathematics -- Probability & Statistics -- General; Probability & statistics; Electronic books
• Languages: English
• ISBNs: 9783319941530; 3319941534
• Related ISBNs: 9783319941523
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 19, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.