Statistics: more regression models

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Series: Basic Statistics for Busy Clinicians (vii) Logistic Regression Models

In the health sciences it is quite common to carry out studies designed to determine the influence of one or more variables upon a given response variable. When this response variable is numerical, simple or multiple regression techniques are used, depending on the case. If the response variable is a qualitative variable (dichotomic or polychotomic), as for example the presence or absence of a ...

متن کامل

Generalized Ridge Regression Estimator in Semiparametric Regression Models

In the context of ridge regression, the estimation of ridge (shrinkage) parameter plays an important role in analyzing data. Many efforts have been put to develop skills and methods of computing shrinkage estimators for different full-parametric ridge regression approaches, using eigenvalues. However, the estimation of shrinkage parameter is neglected for semiparametric regression models. The m...

متن کامل

Probability / Statistics Review & Linear Regression

A regular variable holds, at any one time, a single value, be it numeric or otherwise. In contrast, a random variable (RV) holds a distribution over values, be they numeric or otherwise. For example, the outcome of a future toss of a fair coin can be captured by a random variable X holding the following distribution: ’HEAD’ with probability 0.5, and ’TAIL’ with probability 0.5 . We will use upp...

متن کامل

Statistics review 14: Logistic regression

This review introduces logistic regression, which is a method for modelling the dependence of a binary response variable on one or more explanatory variables. Continuous and categorical explanatory variables are considered.

متن کامل

Nonparametric Regression in Environmental Statistics

This article provides an introduction to the major types of nonparametric regression techniques, including kernel, spline and orthogonal projection methods. Practical aspects of the methods and their applicability in environmental statistics are emphasized through examples and discussion. Topics covered include bandwidth selection, non-parametric regression in multiple dimensions, and methods f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Small Animal Practice

سال: 2013

ISSN: 0022-4510

DOI: 10.1111/jsap.12131