Logicians -- Poland. : Polish logic / 1920-1939 papers by Ajdukiewicz [and others]; with an introduction by Tadeusz Kotarbinski, edited by Storrs McCall, translated by B. Gruchman [and others]
1967
1
Logicians -- Poland -- Biography. : Andrzej Mostowski and foundational studies / edited by A. Ehrenfeucht, V.W. Marek and M. Srebrny
The science that investigates the principles governing correct or reliable inference and deals with the canons and criteria of validity in thought and demonstration. This system of reasoning is applicable to any branch of knowledge or study. (Random House Unabridged Dictionary, 2d ed & Sippl, Computer Dictionary, 4th ed)
Login, William Spence, 1819-1903 : The wind still blows : extracts from the diaries of Rev. W.S. Login, Mrs. H. Harrison, Mrs. W. Montgomery / compiled and edited by John W. Leslie and Helen C. Cowie
Logique symbolique et mathématique -- Congrès. : Advances in contemporary logic and computer science : proceedings of the Eleventh Brazilian Conference on Mathematical Logic, May 6-10, 1996, Salvador da Bahia, Brazil / Walter A. Carnielli, Itala M.L. D'Ottaviano, editors
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
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
Logistic regression analysis -- Case studies : Should I use linear or logistic regression? : a case of using logistic regression to study why American states make different policy choices / Tim Meinke
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
