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Boekhandel Douwes Den Haag

Chapman & Hall/CRC Texts in Statistical Science

Nonparametric Inference

Palaniappan Vellaisamy & Hira L. Koul & Anton Schick

Nonparametric Inference

Chapman & Hall/CRC Texts in Statistical Science

Nonparametric Inference

Chapman & Hall/CRC Texts in Statistical Science: Nonparametric Inference

Verschijnt binnenkort

 

Provides a comprehensive and balanced treatment of both classical and modern methods in nonparametric inference. It begins with foundational topics such as order statistics, ranks, and confidence intervals for medians and percentiles, before progressing to distribution-free tests, robust estimators, regression quantiles, and U-statistics.

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Beschrijving Chapman & Hall/CRC Texts in Statistical Science: Nonparametric Inference

Provides a comprehensive and balanced treatment of both classical and modern methods in nonparametric inference. It begins with foundational topics such as order statistics, ranks, and confidence intervals for medians and percentiles, before progressing to distribution-free tests, robust estimators, regression quantiles, and U-statistics.

ISBN
9781032956138
Pagina's
354
Verschijnt
Serie
Chapman & Hall/CRC Texts in Statistical Science
Rubriek
Wiskunde algemeen
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
Taylor & Francis Ltd

Computer-Aided Kinematics and Dynamics of Mechanical Systems

This open access book presents a new approach to kinematics and dynamics of a broad spectrum of mechanical systems that is based on modern analytical (differential geometry) and computational (differential equation) solution methods that enable treatment of challenging applications that conventional methods are unable to reliably simulate.

Convergence in Measure and in Category

Here, convergence in a category is *-convergence with respect to convergence except on a set of first category, just as convergence in measure is *-convergence with respect to convergence almost everywhere.

Uncertain Portfolio Selection

Investing in portfolios when it is impossible to obtain accurate parameters.

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