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Everything about Test statistic
Statistic used in statistical hypothesis testing
A test statistic is a quantity derived from the sample for statistical hypothesis testing. A hypothesis test is typically specified in terms of a test statistic, considered as a numerical summary of a data-set that reduces the data to one value that can be used to perform the hypothesis test. In general, a test statistic is selected or defined in such a way as to quantify, within observed data, behaviours that would distinguish the null from the alternative hypothesis, where such an alternative is prescribed, or that would characterize the null hypothesis if there is no explicitly stated alternative hypothesis. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Test statisticA 5-minute orientation
- Skim a recent paper: Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience researchInfluential work since 2022
- Pick up a classic book: Schaum's outline of theory and problems of statistics in SI unitsThe most-reprinted book on the subject
- Read the landmark paper: Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary StatisticsCited 4,615 times
- Go sideways: Statistical hypothesis testA closely related topic
- Go sideways: Chi-squared testA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics
The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.
A Scaled Difference Chi-Square Test Statistic for Moment Structure Analysis
T test as a parametric statistic
Asymptotic Expansions of the Information Matrix Test Statistic
Minimum Kolmogorov–Smirnov test statistic parameter estimates
The BDS statistic and residual test
Testing fuzzy hypotheses based on fuzzy test statistic
🆕 Influential since 2022
Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research
Inferential procedures based on the weighted Pearson correlation coefficient test statistic
Superpixelwise likelihood ratio test statistic for PolSAR data and its application to built-up area extraction
Change Detection in Multilook Polarimetric SAR Imagery With Determinant Ratio Test Statistic
A Test Statistic Estimation-Based Approach for Establishing Self-Interpretable CNN-Based Binary Classifiers
📚 Books worth reading
Schaum's outline of theory and problems of statistics in SI unitsMurray R. Spiegel, M. Spiegel · 1961
Designing experiments and analyzing dataScott E. Maxwell, Harold D. Delaney · 1990
Statistical Thinking for Non-Statisticians in Drug RegulationRichard Kay · 2007
Measurement theory in actionKenneth S. Shultz · 2004
Statistical power analysisKevin R. Murphy, Brett Myors · 1998
Statistical methods for psychologyDavid C. Howell · 1982
Linear ModelsShayle R. Searle · 1997
Measurement by the physical educatorMiller, David K. · 1988
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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