Outlines and Highlights for Introduction to Empirical Processes and Semiparametric Inference by Michael R Kosorok, Isbn
Title | Outlines and Highlights for Introduction to Empirical Processes and Semiparametric Inference by Michael R Kosorok, Isbn PDF eBook |
Author | Cram101 Textbook Reviews |
Publisher | Academic Internet Pub Incorporated |
Pages | 64 |
Release | 2010-12 |
Genre | Education |
ISBN | 9781617441158 |
Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780387749778 .
Introduction to Empirical Processes and Semiparametric Inference
Title | Introduction to Empirical Processes and Semiparametric Inference PDF eBook |
Author | Michael R. Kosorok |
Publisher | Springer Science & Business Media |
Pages | 482 |
Release | 2007-12-29 |
Genre | Mathematics |
ISBN | 0387749780 |
Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.
A Modern Theory of Factorial Design
Title | A Modern Theory of Factorial Design PDF eBook |
Author | Rahul Mukerjee |
Publisher | Springer Science & Business Media |
Pages | 231 |
Release | 2007-01-15 |
Genre | Mathematics |
ISBN | 0387373446 |
The last twenty years have witnessed a significant growth of interest in optimal factorial designs, under possible model uncertainty, via the minimum aberration and related criteria. This book gives, for the first time in book form, a comprehensive and up-to-date account of this modern theory. Many major classes of designs are covered in the book. While maintaining a high level of mathematical rigor, it also provides extensive design tables for research and practical purposes. Apart from being useful to researchers and practitioners, the book can form the core of a graduate level course in experimental design.
Growth Curve Models and Statistical Diagnostics
Title | Growth Curve Models and Statistical Diagnostics PDF eBook |
Author | Jian-Xin Pan |
Publisher | Springer Science & Business Media |
Pages | 500 |
Release | 2002-08-21 |
Genre | Mathematics |
ISBN | 9780387950532 |
This book systematically introduces the theory of the GCM with particular emphasis on their multivariate statistical diagnostics, which are based mainly on recent developments made by the authors and their collaborators. Provided are complete proofs of theorems as well as practical data sets and MATLAB code.
Principles and Theory for Data Mining and Machine Learning
Title | Principles and Theory for Data Mining and Machine Learning PDF eBook |
Author | Bertrand Clarke |
Publisher | Springer Science & Business Media |
Pages | 786 |
Release | 2009-07-21 |
Genre | Computers |
ISBN | 0387981357 |
Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics drawn from Statistics, Computer Science, and Electrical Engineering
Inequalities
Title | Inequalities PDF eBook |
Author | Ingram Olkin |
Publisher | Academic Press |
Pages | 590 |
Release | 2014-06-28 |
Genre | Mathematics |
ISBN | 0080959970 |
Although they play a fundamental role in nearly all branches of mathematics, inequalities are usually obtained by ad hoc methods rather than as consequences of some underlying "theory of inequalities." For certain kinds of inequalities, the notion of majorization leads to such a theory that is sometimes extremely useful and powerful for deriving inequalities. Moreover, the derivation of an inequality by methods of majorization is often very helpful both for providing a deeper understanding and for suggesting natural generalizations.Anyone wishing to employ majorization as a tool in applications can make use of the theorems; for the most part, their statements are easily understood.
Nonparametric Functional Data Analysis
Title | Nonparametric Functional Data Analysis PDF eBook |
Author | Frédéric Ferraty |
Publisher | Springer Science & Business Media |
Pages | 260 |
Release | 2006-11-22 |
Genre | Mathematics |
ISBN | 0387366202 |
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.