Jing, Ling

Existence of missing values creates a big problem in real world data. Unless those values are missing completely at random, we cannot disregard them. This paper demonstrates some implementation methods to deal with missing values. It will show the theory and implementations of EM Algorithm, Regression Imputation, Stochastic Regression Imputation an...

Jing, Ling

Existence of missing values creates a big problem in real world data. Unless those values are missing completely at random, we cannot disregard them. This paper demonstrates some implementation methods to deal with missing values. It will show the theory and implementations of EM Algorithm, Regression Imputation, Stochastic Regression Imputation an...

Martínez Pons, José Antonio

Departing from one of the legends that are counted on Archimedes a didactic resource is proposed in the one that, starting from the concept and the measure of the density is claimed besides the comprehension of the basic concepts, a set of physical, chemical, even mathematical applications of the density and different manners of measuring it, are s...

Jing, Ling

Existence of missing values creates a big problem in real world data. Unless those values are missing completely at random, we cannot disregard them. This paper demonstrates some implementation methods to deal with missing values. It will show the theory and implementations of EM Algorithm, Regression Imputation, Stochastic Regression Imputation an...

Small, F. Dowell, David John Simmons, P.

Peer reviewed

Rozendo, Adriano da Silva Justo, José Sterza

Mesmo com diversas tecnologias, políticas, leis e saberes especializados que buscam assegurar as mais dignas condições de envelhecimento, o asilo de velhos ainda marca sua presença na contemporaneidade, como signo do envelhecimento mal sucedido. O presente artigo é o resultado de práticas realizadas em instituições de longa permanência pelos pesqui...

Small, F. Dowell, David John Simmons, P.

Peer reviewed

Jing, Ling

Existence of missing values creates a big problem in real world data. Unless those values are missing completely at random, we cannot disregard them. This paper demonstrates some implementation methods to deal with missing values. It will show the theory and implementations of EM Algorithm, Regression Imputation, Stochastic Regression Imputation an...

Kuzmič, Petr
Published in
Analytical Biochemistry

Optimal experimental designs for the dose–response screening of enzyme inhibitors were studied within the framework of the Box–Lucas theory. If the enzyme concentration E is considered as a fixed constant, an exact two-point D-optimal design consists of a pair of inhibitor concentrations equal to I 1 = 0 and I 2 = E + K , where K is the apparent in...

Finch, W. Holmes Chang, Mei Davis, Andrew S. Holden, Jocelyn E. Rothlisberg, Barbara A. McIntosh, David E.
Published in
Behavior Research Methods

Statistical prediction of an outcome variable using multiple independent variables is a common practice in the social and behavioral sciences. For example, neuropsychologists are sometimes called upon to provide predictions of preinjury cognitive functioning for individuals who have suffered a traumatic brain injury. Typically, these predictions ar...