Name: Applied Regression Analysis (Wiley Series in Probability and Statistics) (en Inglés)
SKU: 3196461
Price: 209.44 USD
Availability: InStock
Author: Norman R. Draper

portada Applied Regression Analysis (Wiley Series in Probability and Statistics) (en Inglés)

Applied Regression Analysis (Wiley Series in Probability and Statistics) (en Inglés)

Formato

Libro Físico

Editorial

John Wiley & Sons Inc

Autor

Norman R. Draper

Año

1998

Idioma

Inglés

N° páginas

736

Encuadernación

Tapa Dura

Peso

3.30

ISBN

9780471170822

ISBN13

9780471170822

N° edición

Categorías

Probabilidad y estadística

Applied Regression Analysis (Wiley Series in Probability and Statistics) (en Inglés)

Norman R. Draper (Autor) · John Wiley & Sons Inc · Tapa Dura

Libro Nuevo Importado

Envío: 18 a 25 días háb.

$ 418.87$ 209.44

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 209.44

Llega entre el 22 Sep y el 05 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Applied Regression Analysis (Wiley Series in Probability and Statistics) (en Inglés)"

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.