- randomization model
- мат. модель рандомизации
Большой англо-русский и русско-английский словарь. 2001.
Большой англо-русский и русско-английский словарь. 2001.
Restricted randomization — Many processes have more than one source of variation in them. In order to reduce variation in processes, these multiple sources must be understood, and that often leads to the concept of nested or hierarchical data structures. For example, in… … Wikipedia
Nagel-Schreckenberg model — The Nagel Schreckenberg model is a theoretical model for the simulation of freeway traffic. The model was developed in the early 90s by the German physicists Kai Nagel and Michael Schreckenberg[1]. It is essentially a simple cellular automaton… … Wikipedia
Aggregated Indices Randomization Method — (AIRM) is a modification of well known aggregated indices method being aimed at complex objects multi criteria estimation under uncertainty. The main advantage of AIRM over other variants of aggregated indices methods is its ability to use non… … Wikipedia
Rubin Causal Model — The Rubin Causal Model (RCM) is an approach to the statistical analysis of cause and effect based on the framework of potential outcomes. RCM is named after its originator, Donald Rubin, Professor of Statistics at Harvard… … Wikipedia
Multilevel model — Multilevel models (also hierarchical linear models, nested models, mixed models, random coefficient, random effects models, random parameter models, or split plot designs) are statistical models of parameters that vary at more than one level.… … Wikipedia
Randomized controlled trial — Flowchart of four phases (enrollment, intervention allocation, follow up, and data analysis) of a parallel randomized trial of two groups, modified from the CONSORT (Consolidated Standards of Reporting Trials) 2010 Statement[1] … Wikipedia
Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… … Wikipedia
Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… … Wikipedia
Oscar Kempthorne — Born January 31, 1911(1911 01 31) St. Tudy, Cornwall Died November 15, 2000(2000 11 15) (aged … Wikipedia
Completely randomized design — In the design of experiments, completely randomized designs are for studying the effects of one primary factor without the need to take other nuisance variables into account. This article describes completely randomized designs that have one… … Wikipedia
Design of experiments — In general usage, design of experiments (DOE) or experimental design is the design of any information gathering exercises where variation is present, whether under the full control of the experimenter or not. However, in statistics, these terms… … Wikipedia