# statistical inference

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Related to statistical inference: Statistical hypothesis

## statistical inference

n
(Statistics) the theory, methods, and practice of forming judgments about the parameters of a population, usually on the basis of random sampling. Also called: inferential statistics Compare hypothesis testing
References in periodicals archive ?
ERIC Descriptors: Data Analysis; Intelligent Tutoring Systems; Sampling; Statistical Inference; Intervention; Instructional Effectiveness; Learning; Teaching Methods; Hypothesis Testing; Comparative Analysis; Regression (Statistics); Scaffolding (Teaching Technique); Feedback (Response); Grade 8; Middle School Students; Pretests Posttests
His topics include general statistical inference, lack of fit and nonparametric regression, diagnostics and variable selection, multiple comparison methods, and basic experimental designs.
An introduction to statistical inference and its applications with R.
The book grew from lecture notes for a one-semester graduate course for students who had completed one semester of statistical inference and one semester of linear models, both at the Masters level.
The authors assume knowledge of introductory statistical inference and regression.
Such requests follow the American Psychological Association Task Force on Statistical Inference recommendations for statistical methods in psychology journals and the American Psychological Association (2001) statement that confidence intervals are the best reporting strategy and strongly recommended.
Authors Martin and Liu present students, academics, researchers, and professionals working in a wide variety of contexts with an examination of statistical inference from the foundational level, arguing for a new way of thinking on scientific inference.
Uusipaikka begins as with likelihood-based statistical inference, including likelihood ratio tests and maximum likelihood estimates, then moves to generalized regression models (giving definitions and special cases), the general linear model, including confidence the region's and intervals, nonlinear regression models, generalized linear models, binomial and logistic regression models, Poisson regression models, multinomial regression models, and other generalized regression models, including those which are linear.
Most often, conclusions in these journals are made solely from the results of statistical inference tests.

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