BACKSTEP: A simple program for backward-selection multiple regression
نویسندگان
چکیده
منابع مشابه
Forward and Backward Selection in Regression Hybrid Network
We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm determines whether a radial or a perceptron unit is required at a given region of input space. Given an error target, the algorithm also determines the number of hidden units. Then the algorithm uses model selection criteria and p...
متن کاملShrinkage Estimation and Selection for Multiple Functional Regression
Functional linear regression is a useful extension of simple linear regression and has been investigated by many researchers. However, the functional variable selection problem when multiple functional observations exist, which is the counterpart in the functional context of multiple linear regression, is seldom studied. Here we propose a method using a group smoothly clipped absolute deviation...
متن کاملMutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems
Pure feature selection, where variables are chosen or not to be in the training data set, still remains as an unsolved problem, especially when the dimensionality is high. Recently, the Forward-Backward Search algorithm using the Delta Test to evaluate a possible solution was presented, showing a good performance. However, due to the locality of the search procedure, the initial starting point ...
متن کاملFixed Bed Column Modeling of Cd(II) Adsorption on Bone Char Using Backward Bayesian Multiple Linear Regression
In this work, the backward Bayesian multiple linear regression (BBMLR) as a new approach is presented to predict the adsorption efficiency (AE) of Cd(II) ions by ostrich bone char (OBC) in the fixed bed adsorption with four operational variables consisting of pH (2-9), inlet Cd(II) concentration (Co= 25-100 mg/L), bed depth (h= 3-9 cm) and feed flow rate (Q= 0.5-30 mL/min). The performance of t...
متن کاملOn Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network
An assessment of the performance hybrid network with different model selection criteria is considered. These criteria are used in an automatic model selection algorithm for constructing a hybrid network of radial and Perceptron hidden units for regression. A forward step builds the full hybrid network; A model selection criterion is used for controlling the network-size and another criterion is...
متن کاملذخیره 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: Behavior Research Methods & Instrumentation
سال: 1980
ISSN: 1554-351X,1554-3528
DOI: 10.3758/bf03201690