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Regno di Tonga -- See Tonga


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Regno d'Italia (1861-1946) -- See Italy


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Regnu di i Paesi Bassi -- See Netherlands


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Regnum Christi (Organization)   2
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  2004 1
Rego Park (New York, N.Y.) : Forest Hills/Rego Park times  1990 1
Rego, Paula.   4
Rego, Paula, 1935- -- Criticism and interpretation.   2
Rego, Paula -- Catalogues raisonnés. : Paula Rego : the complete graphic work / T.G. Rosenthal  2003 1
Rego, Paula -- Criticism and interpretation.   3
Rego, Ronaldo. : Black art in Brazil : expressions of identity / Kimberly L. Cleveland  2013 1
 

Regolith -- See Also the narrower term Soils


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
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Regolith.   4
Regolith -- Australia. : Australian landscapes / edited by P. Bishop and B. Pillans  2010 1
 

Regrading (Earthwork) -- See Grading (Earthwork)


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Regress, Infinite -- See Infinite regress


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Regression -- See Regression (Psychology)


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)
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Regression Analyses -- See Regression Analysis


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
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  Regression analysis -- 14 Related Subjects   14
Regression analysis.   358
Regression analysis -- Case studies.   19
Regression analysis -- Computer programs.   6
Regression analysis -- Computer programs -- Handbooks, manuals, etc. : RATS handbook for econometric time series / Walter Enders  1996 1
Regression analysis -- Computer simulation. : Interpreting and visualizing regression models using Stata / Michael N. Mitchell  2012 1
Regression analysis -- Congresses.   3
 

Regression analysis Data processing -- See Also the narrower term GMDH algorithms


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Regression analysis -- Data processing   20
Regression analysis -- Econometric models.   3
Regression analysis -- Graphic methods. : Regression with graphics : a second course in applied statistics / Lawrence C. Hamilton  1992 1
Regression analysis -- Graphic methods -- Data processing. : An introduction to regression graphics / R. Dennis Cook, Sanford Weisberg  1994 1
Regression analysis -- Handbooks, manuals, etc.   2
Regression analysis -- Mathematical models.   8
MATHEMATICS -- Probability & Statistics -- Regression Analysis. : Quantile regression : estimation and simulation / Marilena Furno and Domenico Vistocco  2018 1
Regression Analysis -- methods : Regression with graphics : a second course in applied statistics / Lawrence C. Hamilton  1992 1
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]  1996 1
Regression analysis -- Research -- Case studies. : Gender Equality in Education in Post-Conflict Countries : Using Linear Regression Models to Advocate for New Policy Frameworks / Dalyot  2017 1
Regression analysis -- Simulation methods. : Learning regression analysis by simulation / Kunio Takezawa  2014 1
Regression analysis -- Study and teaching   42
Regression analysis -- Textbooks. : Applied linear statistical models  2005 1
 

Regression (Civilization) -- See Also Progress


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Regression (Civilization)   24
Regression (Civilization) -- Congresses. : After collapse : the regeneration of complex societies / edited by Glenn M. Schwartz and John J. Nichols  2006 1
Regression (Civilization) -- Fiction.   10
Regression (Civilization) -- History -- To 1500. : The plight of Rome in the fifth century AD / Mark Merrony  2017 1
Regression (Civilization) in art. : Beautiful terrible ruins : Detroit and the anxiety of decline / Dora Apel  2015 1
Regression (Civilization) in literature.   3
Regression (Civilization) -- Juvenile fiction.   2
 

Regression Diagnostics -- See Regression Analysis


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
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Regression, Linear -- See Linear Models


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
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Regression, Logistic -- See Logistic Models


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
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