full factorial experiment
1Factorial experiment — In statistics, a factorial experiment is an experiment whose design consists of two or more factors, each with discrete possible values or levels , and whose experimental units take on all possible combinations of these levels across all such… …
2Fractional factorial design — In statistics, fractional factorial designs are experimental designs consisting of a carefully chosen subset (fraction) of the experimental runs of a full factorial design. The subset is chosen so as to exploit the sparsity of effects principle… …
3Blind experiment — A blind or blinded experiment is a scientific experiment where some of the people involved are prevented from knowing certain information that might lead to conscious or subconscious bias on their part, invalidating the results. For example, when …
4Glossary of experimental design — The following is a glossary of terms. It is not intended to be all inclusive. Concerned fields *Statistics *Experimental design *Estimation theory Glossary * Alias: When the estimate of an effect also includes the influence of one or more other… …
5Yates analysis — Full and fractional factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels. These are typically called the low and high levels. For computational… …
6Restricted 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… …
7Randomized 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] …
8Design 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… …
9Analysis 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… …
10Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… …
