The use of operating characteristic curves in the validation of the assumption of multivariate normality and determination of sample size

The use of operating characteristic curves in the validation of the assumption of multivariate normality and determination of sample size

Bibliographic Details
Main Author:	Helton, Dwight Antonio
Published:	Georgia Institute of Technology 2008
Subjects:	Multivariate analysis Sampling (Statistics)
Online Access:	http://hdl.handle.net/1853/24878

Similar Items

Sampling properties of multiple linear regression statistics
by: Lane, Leonard J.
Published: (1972)

THE ACCEPTANCE CONTROL COSTS FOR VARIABLE SAMPLING IN CASE OF DISTRIBUTION OF CHARACTERISTIC INCOMPATIBLE WITH ASSUMPTIONS
by: Magdalena Chmielińska
Published: (2015-08-01)

Large-Sample Asymptotic Approximations for the Sampling and Posterior Distributions of Differential Entropy for Multivariate Normal Distributions
by: Habib Benali, et al.
Published: (2011-04-01)

ON GENERATING MULTIVARIATE SAMPLES WITH ARCHIMEDEAN COPULAS
by: Jacek Stelmach
Published: (2014-11-01)

Concepts in sample size determination
by: Umadevi K Rao
Published: (2012-01-01)

Generalizing the multivariate normality assumption in the simulation of dependencies in transportation systems
by: Ng, Man Wo
Published: (2010)

An application of Bayesian analysis in determining appropriate sample sizes for use in US Army operational tests
by: Cordova, Robert Lee
Published: (2008)

Process Monitoring with Multivariate Data:Varying Sample Sizes and Linear Profiles
by: Kim, Keunpyo
Published: (2014)

Sample size for inverse binomial sampling
by: Keeton, James Donald, 1942-
Published: (1969)

More about the basic assumptions of t-test: normality and sample size
by: Tae Kyun Kim, et al.
Published: (2019-08-01)

A study of procedures to examine correlation pattern hypotheses under conditions of multivariate normality and nonnormality
by: Fouladi, Rachel Tanya
Published: (2009)

A study of procedures to examine correlation pattern hypotheses under conditions of multivariate normality and nonnormality
by: Fouladi, Rachel Tanya
Published: (2009)

Power studies of multivariate two-sample tests of comparison.
by: Siluyele, Ian John.
Published: (2007)

Power studies of multivariate two-sample tests of comparison.
by: Siluyele, Ian John.
Published: (2007)

Power studies of multivariate two-sample tests of comparison
by: Siluyele, Ian John
Published: (2013)

On optimum sample allocation in multivariate surveys
by: Kouri, Brian
Published: (1976)

An application of Bayesian statistical methods in the detemination of sample size for operational testing in the U S Army
by: Baker, Robert Michael
Published: (2008)

Multivariate Pointwise Information-Driven Data Sampling and Visualization
by: Soumya Dutta, et al.
Published: (2019-07-01)

A Novel Multivariate Sample Entropy Algorithm for Modeling Time Series Synchronization
by: David Looney, et al.
Published: (2018-01-01)

Local influence and multivariate outliers.
Published: (1999)

Analysis of correlation in a determinately closed symmetric multivariate system
by: Winters, William Kyran.
Published: (2015)

Influence of Correlation and Missing Data on Sample Size Determination in Mixed Models
by: Chen, Yanran
Published: (2013)

Sampling from Linear Multivariate Densities
by: Hörmann, Wolfgang, et al.
Published: (2009)

Power Estimation in Multivariate Analysis of Variance
by: Jean François Allaire, et al.
Published: (2007-09-01)

Analysis of finite population surveys : sample size and testing considerations
by: McDonald, Trent, 1965-
Published: (2012)

Grazing Adoption in Dairy Farming: A Multivariate Sample-Selection Approach
by: Henning Schaak, et al.
Published: (2018-05-01)

Computing Multivariate Effect Sizes and Their Sampling Covariance Matrices With Structural Equation Modeling: Theory, Examples, and Computer Simulations
by: Mike W.-L. Cheung
Published: (2018-08-01)

UNIVARIATE SAMPLE SIZE DETERMINATION BY ALTERNATIVE COMPONENTS: ISSUES ON DESIGN EFFICIENCY FOR COMPLEX SAMPLES
by: Ceylan Talu Yozgatligil, et al.
Published: (2018-06-01)

Multivariate permutation tests for the k-sample problem with clustered data
by: Rahnenführer, Jörg
Published: (1999)

Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy
by: Jiann-Shing Shieh, et al.
Published: (2013-08-01)

Respondent-Driven Sampling – Testing Assumptions: Sampling with Replacement
by: Barash Vladimir D., et al.
Published: (2016-03-01)

Determining the Optimum Number of Increments in Composite Sampling
by: Hathaway, John Ellis
Published: (2005)

Multivariate statistical diagnostics with application to the growth curve model
by: Pan, Jian-Xin
Published: (1996)

Third-Order Polynomial Normal Transform Applied to Multivariate Hydrologic Extremes
by: Yeou-Koung Tung, et al.
Published: (2019-03-01)

An investigation into the use of power transformations to normality
by: Hayes, M. W.
Published: (1986)

Beyond Geometric Models: Multivariate Statistical Ecology with Likelihood Functions
by: Walker, Steven C.
Published: (2010)

Beyond Geometric Models: Multivariate Statistical Ecology with Likelihood Functions
by: Walker, Steven C.
Published: (2010)

NONPARAMETRIC MULTIVARIATE STATISTICAL PROCESS CONTROL USING PRINCIPAL COMPONENT ANALYSIS AND SIMPLICIAL DEPTH
by: Beltran, Luis
Published: (2006)

GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process
by: Wang, Sai
Published: (2017)

The Sampling Distribution of the Total Correlation for Multivariate Gaussian Random Variables
by: Taylor Rowe, et al.
Published: (2019-09-01)