Omnibus test contours for departures from normality based on √b1 and b2
Explore this paper's citation graph
- Type
- article
- Published
- 1975-08-01
- Cited by
- 387
- References
- 4
- OpenAlex
- https://openalex.org/W1991475547
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:120691674
Keywords
Kurtosis, Mathematics, Statistics, Statistic, Normality
References
Cited by
- The Effects of Seat Belt Legislation on British Road Casualties: A Case Study in Structural Time Series Modelling
- A Multivariate Methodology for Modelling Regional Development in Croatia
- Particle filtering for non-stationary speech modelling and enhancement
- The Vanishing January Effect
- A preliminary investigation into the use of the tarif system and three tree selection methods for obtaining Douglas-fir stand and stock tables from large-scale aerial photography
- JOINT RESEARCH CENTER FOR PANEL STUDIES DISCUSSION PAPER SERIES
- A Generalized Dynamic Factor Model for Panel Data: Estimation with a Two-Cycle Conditional Expectation-Maximization Algorithm
- Testing Normality Against The Laplace Distribution
- Fisher Information Test of Normality
- Development of tree height and diameter growth equations for mid-Willamette Valley Douglas-fir
- Maximum crown-width equations for southwestern Oregon tree species
- A Monte Carlo Simulation of an Omnibus Test Based on Normal Probability Plots: The Line Test
- Uranium and thorium loadings determined by chemical and nondestructive methods in HTGR fuel rods for the Fort St. Vrain Early Validation Irradiation Experiment
- 温冷感申告値の回帰分析における誤差項の正規性に関する検討 : カテゴリ・データの統計解析
- Functional structure and approximation in econometrics
- Quantile Residuals for Multivariate Models
- Effects of Traffic Cameras on Incident Management
- Application of the Akaike information criterion for an assessment of sugar beet crop distribution
- Diagnostic Tests Based on Quantile Residuals for Nonlinear Time Series Models
- Estimating Influenza-Related Hospital Admissions in Children and Adults
Related papers
- Testing residual normality in the ANOVA model
- Testing for normality by using the properties of the cumulant generating function
- Moments of regression F-statistics under non-normality
- Normality testing: two new tests using L-moments
- Four improved statistics for contrasting means by correcting skewness and kurtosis.
- Optimal goodness-of-fit tests for normality against skewness and kurtosis alternatives
- A Suggestion for Using Powerful and Informative Tests of Normality