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Mark   Year Entries
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   3
 

Regression (Civilization) -- See Also Progress


  1
Regression (Civilization)   33
Regression (Civilization) -- 21st century : The return of inequality : social change and the weight of the past / Mike Savage  2021 1
Regression (Civilization) -- Congresses : After collapse : the regeneration of complex societies / edited by Glenn M. Schwartz and John J. Nichols  2006 1
Regression (Civilization) -- Drama : Crumbs / directed by Miguel Llansó ; performed by Daniel Tadesse, Quino Piñero, Selam Tesfayie ; produced by Miguel Llansó, Sergio Uguet De Resayre, BiraBiro Films, Lanzadera Films  2017 1
Regression (Civilization) -- Fiction   9
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.   12
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 		  1
Regression -- Finanzmathematik. : Regression modeling with actuarial and financial applications / Edward W. Frees  2010 1
Regression Formulae : An Introduction to Quantitative Economics  2018 1
 

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 		  1
 

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 		  1
Finanzmathematik -- Regression (Math.) : Regression modeling with actuarial and financial applications / Edward W. Frees  2010 1
Versicherungsmathematik -- Regression (Math.) : Regression modeling with actuarial and financial applications / Edward W. Frees  2010 1
 

Regression modeling -- See Regression analysis


  1
 

Regression, Past-lives -- See Reincarnation


  1
Regression (Psychologie)   2
Regression (Psychology)   13
Regression (Psychology) -- Drama : Lord of the flies (Motion picture : 1963) http://id.loc.gov/authorities/names/no2004002964  2014 1
Regression (Psychology) -- Fiction.   4
Regression (Psychology) in infants   2
Regression (Psychology) in infants -- Cross-cultural studies   2
Regression (Psychology) in old age. : Regression, stress, and readjustment in aging : a structured, bio-psychosocial perspective on coping and professional support / Zeev Ben-Sira  1991 1
Regression (Psychology) -- Therapeutic use   2
 

Regression, Statistical -- 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 		  1
Regression (Statistics) : Understanding test and exam results statistically : an essential guide for teachers and school leaders / Kaycheng Soh  2016 1
Regression -- Versicherungsmathematik. : Regression modeling with actuarial and financial applications / Edward W. Frees  2010 1
 

Regressions, 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 		  1
 

Regressions, 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 		  1
 

Regressions (Psychology) -- 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) 		  1
 

Regressions, Statistical -- 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 		  1
Regressionsanalys.   8
Regressionsanalyse   23
Regressionsmodell   2
 

Regressive behavior -- See Regression (Psychology)


  1
 

Regret -- See Emotions


Those affective states which can be experienced and have arousing and motivational properties 		  1
Regret.   21
Regret -- Fiction   6
Regret -- Political aspects -- United States -- History : Mea culpa : lessons on law and regret from U.S. history / Steven W. Bender  2015 1
Regret -- Religious aspects -- Christianity. : Regret A Theology  2021 1
 

Regrets -- See Emotions


Those affective states which can be experienced and have arousing and motivational properties 		  1
Regroupement des documents (Informatique) : Intelligent text categorization and clustering / Nadia Nedjah [and others], (eds.)  2009 1
Regroupement familial. : Transnational marriage : new perspectives from Europe and beyond / edited by Katharine Charsley  2012 1
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