9780471496700 - Multivariate Permutation Tests: With Applications in Biostatistics von Pesarin, Fortunato (24 Ergebnisse)

Zustand: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships via media mail.

Zustand: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9780471496700.

Cloth/Laminated Boards. Zustand: Very Good. Type: Book N.B. Small label to ffep. Corners a little rubbed.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: new.

Zustand: New.

Zustand: New. In.

hardcover. Zustand: New. In shrink wrap. Looks like an interesting title!

Hardcover. Zustand: new. Hardcover. Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub-problems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables. * Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric combination methodology. * Growing area of research with many practical applications, notably in biostatistics. * Numerous case studies and examples help to illustrate the theory. * Provides solutions to multi-aspect problems, to problems with missing data, analysis of factorial designs and repeated measures. * Explains the analysis of categorical, ordered categorical, binary, continuous, and mixed variables in both an experimental and an observational context. * NPC-Test(c) software (demo copy), SAS macros, S-Plus code and datasets are available on the Web at /~pesarin/ For researchers and practitioners in a number of scientific disciplines, particularly biostatistics, the vast collection of techniques, examples and case studies will be an invaluable resource. Graduate students of applied statistics and nonparametric methods will find the book provides an accessible introduction to multivariate permutation testing. Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub--problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub-problems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables. * Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric combination methodology. * Growing area of research with many practical applications, notably in biostatistics. * Numerous case studies and examples help to illustrate the theory. * Provides solutions to multi-aspect problems, to problems with missing data, analysis of factorial designs and repeated measures. * Explains the analysis of categorical, ordered categorical, binary, continuous, and mixed variables in both an experimental and an observational context. * NPC-Test(c) software (demo copy), SAS macros, S-Plus code and datasets are available on the Web at /~pesarin/ For researchers and practitioners in a number of scientific disciplines, particularly biostatistics, the vast collection of techniques, examples and case studies will be an invaluable resource. Graduate students of applied statistics and nonparametric methods will find the book provides an accessible introduction to multivariate permutation testing. Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub--problems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. pp. xxvi + 408 Illus.

Zustand: New. pp. xxvi + 408 1st Edition.

Gebunden. Zustand: New. the book is well written. It cand be useful and recommended for researchers and practitioners in a number of scientific disciplines.and for graduate students. (Zentralblatt MATH, Vol.972, No.12, 2001) .carefully presents a concise and mathematically.

Zustand: New. The author presents a well tested approach using real examples taken from bio-medical research. He breaks down each problem into its components and where an unbiased partial test is found to exist, nonparametric combination methodology is used to determine overall solutions. Num Pages: 432 pages, Ill. BIC Classification: MQW; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 239 x 162 x 30. Weight in Grams: 790. . 2001. 1st Edition. Hardcover. . . . .

Hardcover. Zustand: Like New. Like New. book.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 1st edition. 408 pages. 9.00x6.25x1.00 inches. In Stock.

Zustand: New. The author presents a well tested approach using real examples taken from bio-medical research. He breaks down each problem into its components and where an unbiased partial test is found to exist, nonparametric combination methodology is used to determine overall solutions. Num Pages: 432 pages, Ill. BIC Classification: MQW; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 239 x 162 x 30. Weight in Grams: 790. . 2001. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - Eine neuartige, aber sorgfältig getestete Methode des multivariaten Permutationtests kommt in diesem Band zur Sprache. Elegant unterteilt der Autor jedes Problem in seine Komponenten und wendet, wo es möglich ist, nichtparametrische Kombinationsverfahren an, um allgemeine Lösungen zu ermitteln. Der Vorteil dieser parameterfreien Ansätze liegt darin, daß keinerlei Annahmen bezüglich der Verteilung einer Population getroffen werden müssen. Viele Fallstudien und Beispiele illustrieren die Theorie. Die beiliegende CD enthält Software und Datensätze zum selbständigen Durcharbeiten der Beispiele.

Hardcover. Zustand: new. Hardcover. Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub-problems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables. * Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric combination methodology. * Growing area of research with many practical applications, notably in biostatistics. * Numerous case studies and examples help to illustrate the theory. * Provides solutions to multi-aspect problems, to problems with missing data, analysis of factorial designs and repeated measures. * Explains the analysis of categorical, ordered categorical, binary, continuous, and mixed variables in both an experimental and an observational context. * NPC-Test(c) software (demo copy), SAS macros, S-Plus code and datasets are available on the Web at /~pesarin/ For researchers and practitioners in a number of scientific disciplines, particularly biostatistics, the vast collection of techniques, examples and case studies will be an invaluable resource. Graduate students of applied statistics and nonparametric methods will find the book provides an accessible introduction to multivariate permutation testing. Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub--problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: Brand New. 1st edition. 408 pages. 9.00x6.25x1.00 inches. In Stock. This item is printed on demand.