عنوان

Robust nonlinear regression :

شابک

1119010446

شابک

1119010454

شابک

1119010462

شابک

9781119010449

شابک

9781119010456

شابک

9781119010463

شابک اشتباه

9781118738061

عنوان اصلي

Robust nonlinear regression :

نام عام مواد

[Book]

ساير اطلاعات عنواني

with application using R /

نام نخستين پديدآور

Hossein Riazoshams, Habshah Midi, Gebrenegus Ghilagaber.

محل نشرو پخش و غیره

Hoboken, NJ :

نام ناشر، پخش کننده و غيره

John Wiley & Sons,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Robust statistics -- Nonlinear models -- Robust estimators in nonlinear regression -- Heteroscedastic variance -- Authocorrelated errors -- Outlier detection in nonlinear regression -- Optimization -- Nlr package -- Robust nonlinear regression in R.

متن يادداشت

Robust statistics and its application in linear regression -- Nonlinear models: concepts and parameter estimation -- Robust estimators in nonlinear regression -- Heteroscedastic variance -- Authocorrelated errors -- Outlier detection in nonlinear regression -- Optimization -- nlr package -- Robust nonlinear regression in R.

بدون عنوان

0

بدون عنوان

0

متن يادداشت

The first book to discuss robust aspects of nonlinear regression-with applications using R software Robust Nonlinear Regression: with Applications using R covers a variety of theories and applications of nonlinear robust regression. It discusses both parts of the classic and robust aspects of nonlinear regression and focuses on outlier effects. It develops new methods in robust nonlinear regression and implements a set of objects and functions in S-language under SPLUS and R software. The software covers a wide range of robust nonlinear fitting and inferences, and is designed to provide facilities for computer users to define their own nonlinear models as an object, and fit models using classic and robust methods as well as detect outliers. The implemented objects and functions can be applied by practitioners as well as researchers. The book offers comprehensive coverage of the subject in 9 chapters: Theories of Nonlinear Regression and Inference; Introduction to R; Optimization; Theories of Robust Nonlinear Methods; Robust and Classical Nonlinear Regression with Autocorrelated and Heteroscedastic errors; Outlier Detection; R Packages in Nonlinear Regression; A New R Package in Robust Nonlinear Regression; and Object Sets.-The first comprehensive coverage of this field covers a variety of both theoretical and applied topics surrounding robust nonlinear regression -Addresses some commonly mishandled aspects of modeling -R packages for both classical and robust nonlinear regression are presented in detail in the book and on an accompanying website Robust Nonlinear Regression: with Applications using R is an ideal text for statisticians, biostatisticians, and statistical consultants, as well as advanced level students of statistics.

منبع سفارش / آدرس اشتراک

Wiley

شماره انبار

9781119010449

عنوان

Robust nonlinear regression.

شماره استاندارد بين المللي کتاب و موسيقي

9781118738061

موضوع مستند نشده

Nonlinear theories.

موضوع مستند نشده

R (Computer program language)

موضوع مستند نشده

Regression analysis.

موضوع مستند نشده

MATHEMATICS-- Applied.

موضوع مستند نشده

MATHEMATICS-- Probability & Statistics-- General.

موضوع مستند نشده

Nonlinear theories.

موضوع مستند نشده

R (Computer program language)

موضوع مستند نشده

Regression analysis.

موضوع مستند نشده

MAT-- 003000

موضوع مستند نشده

MAT-- 029000

شماره

ويراست

شماره رده

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Riazoshams, Hossein,1971-

مستند نام اشخاص تاييد نشده

Ghilagaber, Gebrenegus

مستند نام اشخاص تاييد نشده

Midi, Habshah

تاريخ عمليات

20200822152148.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y