Rêgo, José Lins do, 1901-1957. : "Com brasileiro, não há quem possa!" : futebol e identidade nacional em José Lins do Rego, Mário Filho e Nelson Rodrigues / Fatima M.R. Ferreira Antunes

Here are entered works on natural soils. Works on plant growing media which include both natural soils and artificial media are entered under Plant growing media. Works on growing media which do not contain natural soils are entered under Plant growing media, Artificial. Works on growing media for potted plants are entered under Potting soils --subdivision Soils under individual plants, e.g. Corn--Soils; and headings beginning with the word Soil

A return to earlier, especially to infantile, patterns of thought or behavior, or stage of functioning, e.g., feelings of helplessness and dependency in a patient with a serious physical illness. (From APA, Thesaurus of Psychological Index Terms, 1994)

Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable

Regression Analysis -- methods : Regression with graphics : a second course in applied statistics / Lawrence C. Hamilton

1992

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Regression analysis -- Problems, exercises, etc. : Student solutions manual for use with Applied Linear Regression Models, 3rd ed. and Applied Linear Statistical Models, 4th ed. / John Neter...[and others]

Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable

Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression

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. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor