variable bias
31AVBC — Anderson Valley Brewing Company (Business » Firms) ** Australasian Veterinary Boards Council (Medical » Veterinary) ** Advanced Bio / Chem, Inc. (Business » NASDAQ Symbols) * Australian Veterinary Boards Council (Community » Non Profit… …
32Internal validity — is the validity of (causal) inferences in scientific studies, usually based on experiments as experimental validity [ Mitchell, M. and Jolley, J. (2001). Research Design Explained (4th Ed) New York:Harcourt.] . Details Inferences are said to… …
33Regression dilution — is a statistical phenomenon also known as attenuation . Consider fitting a straight line for the relationship of an outcome variable y to a predictor variable x, and estimating the gradient (slope) of the line. Statistical variability,… …
34List of psychology topics — This page aims to list all topics related to psychology. This is so that those interested in the subject can monitor changes to the pages by clicking on Related changes in the sidebar. It is also to see the gaps in Wikipedia s coverage of the… …
35Electronic amplifier — A practical amplifier circuit An electronic amplifier is a device for increasing the power of a signal. It does this by taking energy from a power supply and controlling the output to match the input signal shape but with a larger amplitude. In… …
36Rounding — This article is about numerical rounding. For lip rounding in phonetics, see Labialisation. For other uses, see Rounding (disambiguation). Rounding a numerical value means replacing it by another value that is approximately equal but has a… …
37Memristor — Type Passive Working principle Memristance Invented Leon Chua (1971) First production HP Labs (2008) Electronic symbol …
38Errors-in-variables models — In statistics and econometrics, errors in variables models or measurement errors models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors… …
39Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …
40Multicollinearity — is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data.… …
