9780471682271 - U-Statistics: 714 (Wiley Series in Probability and Statistics) di Kowalski; Tu (22 risultati)

Condizione: New. *Price HAS BEEN REDUCED by 10% until Monday, June 15 (SALE item)* 400 pp., hardcover, new, this is the 2018 edition. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request.

hardcover. Condizione: Sehr gut. 400 Seiten; 9780471682271.2 Gewicht in Gramm: 1.

Condizione: New.

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

Condizione: New.

Condizione: new.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Hardback. Condizione: New. 1st. A timely and applied approach to the newly discovered methods and applications of U-statistics Built on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a "learn by example" approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research. The authors begin with an introduction of the essential and theoretical foundations of U-statistics such as the notion of convergence in probability and distribution, basic convergence results, stochastic Os, inference theory, generalized estimating equations, as well as the definition and asymptotic properties of U-statistics. With an emphasis on nonparametric applications when and where applicable, the authors then build upon this established foundation in order to equip readers with the knowledge needed to understand the modern-day extensions of U-statistics that are explored in subsequent chapters. Additional topical coverage includes: Longitudinal data modeling with missing data Parametric and distribution-free mixed-effect and structural equation models A new multi-response based regression framework for non-parametric statistics such as the product moment correlation, Kendall's tau, and Mann-Whitney-Wilcoxon rank tests A new class of U-statistic-based estimating equations (UBEE) for dependent responses Motivating examples, in-depth illustrations of statistical and model-building concepts, and an extensive discussion of longitudinal study designs strengthen the real-world utility and comprehension of this book. An accompanying Web site features SAS? and S-Plus? program codes, software applications, and additional study data. Modern Applied U-Statistics accommodates second- and third-year students of biostatistics at the graduate level and also serves as an excellent self-study for practitioners in the fields of bioinformatics and psychosocial research.

Condizione: New. pp. xi + 378 Illus.

Condizione: New. pp. xi + 378.

Condizione: New. The purpose of this book is to introduce the theory of U-Statistics and illustrate it with a wide range of timely applications arising in genetics, biomedical, and psychological research. Series: Wiley Series in Probability and Statistics. Num Pages: 378 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 236 x 164 x 24. Weight in Grams: 682. . 2007. 1st Edition. Hardcover. . . . .

Gebunden. Condizione: New. The purpose of this book is to introduce the theory of U-Statistics and illustrate it with a wide range of timely applications arising in genetics, biomedical, and psychological research.&Uumlber den AutorJeanne Kowalski, PhD, is.

Hardcover. Condizione: Brand New. 1st edition. 378 pages. 9.50x6.50x1.00 inches. In Stock.

Condizione: New. The purpose of this book is to introduce the theory of U-Statistics and illustrate it with a wide range of timely applications arising in genetics, biomedical, and psychological research. Series: Wiley Series in Probability and Statistics. Num Pages: 378 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 236 x 164 x 24. Weight in Grams: 682. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardback. Condizione: New. 1st. A timely and applied approach to the newly discovered methods and applications of U-statistics Built on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a "learn by example" approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research. The authors begin with an introduction of the essential and theoretical foundations of U-statistics such as the notion of convergence in probability and distribution, basic convergence results, stochastic Os, inference theory, generalized estimating equations, as well as the definition and asymptotic properties of U-statistics. With an emphasis on nonparametric applications when and where applicable, the authors then build upon this established foundation in order to equip readers with the knowledge needed to understand the modern-day extensions of U-statistics that are explored in subsequent chapters. Additional topical coverage includes: Longitudinal data modeling with missing data Parametric and distribution-free mixed-effect and structural equation models A new multi-response based regression framework for non-parametric statistics such as the product moment correlation, Kendall's tau, and Mann-Whitney-Wilcoxon rank tests A new class of U-statistic-based estimating equations (UBEE) for dependent responses Motivating examples, in-depth illustrations of statistical and model-building concepts, and an extensive discussion of longitudinal study designs strengthen the real-world utility and comprehension of this book. An accompanying Web site features SAS? and S-Plus? program codes, software applications, and additional study data. Modern Applied U-Statistics accommodates second- and third-year students of biostatistics at the graduate level and also serves as an excellent self-study for practitioners in the fields of bioinformatics and psychosocial research.

Buch. Condizione: Neu. Neuware - A timely and applied approach to the newly discovered methods and applications of U-statistics.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 712.

Hardcover. Condizione: new. Hardcover. A timely and applied approach to the newly discovered methods and applications of U-statistics Built on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a "learn by example" approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research. The authors begin with an introduction of the essential and theoretical foundations of U-statistics such as the notion of convergence in probability and distribution, basic convergence results, stochastic Os, inference theory, generalized estimating equations, as well as the definition and asymptotic properties of U-statistics. With an emphasis on nonparametric applications when and where applicable, the authors then build upon this established foundation in order to equip readers with the knowledge needed to understand the modern-day extensions of U-statistics that are explored in subsequent chapters. Additional topical coverage includes: Longitudinal data modeling with missing data Parametric and distribution-free mixed-effect and structural equation models A new multi-response based regression framework for non-parametric statistics such as the product moment correlation, Kendall's tau, and Mann-Whitney-Wilcoxon rank tests A new class of U-statistic-based estimating equations (UBEE) for dependent responses Motivating examples, in-depth illustrations of statistical and model-building concepts, and an extensive discussion of longitudinal study designs strengthen the real-world utility and comprehension of this book. An accompanying Web site features SAS? and S-Plus? program codes, software applications, and additional study data. Modern Applied U-Statistics accommodates second- and third-year students of biostatistics at the graduate level and also serves as an excellent self-study for practitioners in the fields of bioinformatics and psychosocial research. The purpose of this book is to introduce the theory of U-Statistics and illustrate it with a wide range of timely applications arising in genetics, biomedical, and psychological research. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: Brand New. 1st edition. 378 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.