Search academic resources

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable...

We performed a Monte Carlo study to evaluate the effect of the number of events per variable (EPV) analyzed in logistic regression analysis. The simulations were based on data from a cardiac trial of 673 patients in whic...

Subjects / keywords: Logistic regression; Statistics; Mathematics

Subjects / keywords: Logistic regression; Statistics; Mathematics

Subjects / keywords: Chemometrics; Regression; Regression analysis; Computer science; Partial least squares regression; Statistics; Mathematics; Machine learning

Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Forn...

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Aut...

Subjects / keywords: Computer science; Regression; Regression analysis; Regression testing; Software; Statistics; Programming language; Mathematics; Machine learning; Software development; Software construction

Subjects / keywords: Statistics; Mathematics; Regression analysis; Regression function; Regression; Linear regression; Cross-sectional regression; Econometrics; Function (biology); Hazard; Polynomial regression; Biology

Summary The analysis of censored failure times is considered. It is assumed that on each individual are available values of one or more explanatory variables. The hazard function (age-specific failure rate) is taken to b...

Introduction Continuous Outcomes Binary Outcomes Testing and Fit Ordinal Outcomes Nominal Outcomes Limited Outcomes Count Outcomes Conclusions

SUMMARY We propose a new method for estimation in linear models. The ‘lasso’ minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant. Because of t...

Locally weighted regression, or loess, is a way of estimating a regression surface through a multivariate smoothing procedure, fitting a function of the independent variables locally and in a moving fashion analogous to ...

Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) t...

Abstract In this paper a method of estimating the parameters of a set of regression equations is reported which involves application of Aitken's generalized least-squares [1] to the whole system of equations. Under condi...

Subjects / keywords: Logistic regression; Statistics; Logistic model tree; Mathematics

Subjects / keywords: Correlation; Regression analysis; Statistics; Regression; Psychology; Econometrics; Mathematics; Geometry

Subjects / keywords: Statistics; Regression analysis; Regression; Computer science; Mathematics; Econometrics

Basic Prerequisite Knowledge. Fitting a Straight Line by Least Squares. Checking the Straight Line Fit. Fitting Straight Lines: Special Topics. Regression in Matrix Terms: Straight Line Case. The General Regression Situa...

1. CONCEPTS AND EXAMPLES OF RESEARCH. Concepts. Examples. Concluding Remarks. References. 2. CLASSIFICATION OF VARIABLES AND THE CHOICE OF ANALYSIS. Classification of Variables. Overlapping of Classification Schemes. Cho...

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression...

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable...

Subjects / keywords: Statistics; Regression; Mathematics; Regression analysis; Forestry; Computer science; Geography

Subjects / keywords: Regression; Statistics; Regression analysis; Computer science; Mathematics; Artificial intelligence