Results 261 to 270 of about 383,950 (309)
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Regression II. Development through regression
Journal of Analytical Psychology, 2020AbstractAs shown in our previous paper (‘Regression I. Experimental approaches to regression’,JAP,65, 2, 345‐65), the common mechanism of regression can be described as reversible dedifferentiation, which is understood as a relative increase of the proportion of low‐differentiated (older) systems in actualized experience.
Yuri, Alexandrov +7 more
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Regression I. Experimental approaches to regression
Journal of Analytical Psychology, 2020AbstractThe concept of regression is considered with an emphasis on the differences between the positions of Freud and Jung regarding its significance. The paper discusses the results of experimental analyses of individual experience dynamics (from gene expression changes and impulse neuronal activity in animals to prosocial behaviour in healthy humans
Yuri Alexandrov +7 more
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2006
We augment a linear regression procedure by a thruth-functional method in order to identify a highly informative regression line. The idea is to use statistical methods to identify a confidence region for the line and exploit the structure of the sample data falling in this region for identifying the most fitting line.
B. Apolloni +3 more
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We augment a linear regression procedure by a thruth-functional method in order to identify a highly informative regression line. The idea is to use statistical methods to identify a confidence region for the line and exploit the structure of the sample data falling in this region for identifying the most fitting line.
B. Apolloni +3 more
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Regression over regression: Or fixations about regression analysis
The Multivariate Experimental Clinical Research Journal, 1982Some of the problems in dealing with regression analysis are described from the psychostatistics analytical viewpoint. A case study and a brief history antecede the covering of these fixations of regression: stepwise is unreliable; with enough independent variables, R2 becomes 1; if R2 is less than .5, then it is too small to discuss; but you had a ...
Peek, Leon A., Lawlis, G. Frank
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Regressing and Regressed Melanoma
2004Malignant melanoma frequently undergoes regression (10–35% of cases), and on occasion, this can be extensive. Regressed areas can vary from foci only a few rete ridges in breadth to being subtotal or even complete. Only about 40 cases of completely regressed primary melanoma are on record, but this is doubtless a huge underestimation.
Guido Massi, Philip E. LeBoit
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On regressing regression coefficients
Journal of Statistical Planning and Inference, 1982This paper considers a regression model in which coefficients obtained from a previous regression are themselves the object of analysis. It is shown that the parameters of interest can be obtained in two ways: pooling across observations and subsamples, or a two-stage process of first estimating the coefficients within each subsample, and then using ...
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Mining regression rules and regression trees
1998We propose a new type of regression rules to represent the conditional functional relationship between a response variable and p numericvalued explanatory variables, conditioning on values of a set of categorical variables. Regression rules are ideal for representing relationships existed in mixture of categorical data and numeric data.
Buh-Yun Sher +2 more
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Linear Regression and Logistic Regression
2023Supervised learning is a machine learning task of mapping the input to the output on the basis of labeled input-output example pairs. Supervised learning may be of two types: classification and regression. In this chapter, we will discuss linear regression in one variable, linear regression in multiple variables, gradient descent, and polynomial ...
Deepti Chopra, Roopal Khurana
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Regression and unbiased regression
Trabajos de Estadistica Y de Investigacion Operativa, 1978A method of evaluation of the efficiency of a regression function is given. Unbiased regression is defined. In annex, a method of computation of mean values is given, which is very useful in many cases.
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2007
The Medical Subject Headings (MeSH) thesaurus used by the National Library of Medicine defines logistic regression models as "statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable ...
Todd G, Nick, Kathleen M, Campbell
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The Medical Subject Headings (MeSH) thesaurus used by the National Library of Medicine defines logistic regression models as "statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable ...
Todd G, Nick, Kathleen M, Campbell
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