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Analysis Of Variance For Random Models by Hardeo Sahai
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1Analysis Of Variance For Random Models : Theory, Methods, Applications, And Data Analysis
By Sahai, Hardeo
“Analysis Of Variance For Random Models : Theory, Methods, Applications, And Data Analysis” Metadata:
- Title: ➤ Analysis Of Variance For Random Models : Theory, Methods, Applications, And Data Analysis
- Author: Sahai, Hardeo
- Language: English
Edition Identifiers:
- Internet Archive ID: analysisofvarian0000saha
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 1100.13 Mbs, the file-s for this book were downloaded 26 times, the file-s went public at Wed Jul 26 2023.
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2DTIC ADA113877: Small Sample Properties Of Robust Analysis Of Variance For Fixed And Random Effects Models.
By Defense Technical Information Center
The major shortcoming of robust methodology in statistical linear models has been a limitation primarily to parameter estimation in fixed effects models. The major competitor, classical least squares methodology, by contrast offers a unified treatment of estimation, testing, and multiple comparisons techniques in a wide range of fixed and random effects models. Research efforts have been directed toward filling the void in robust methods in order to provide a complete alternative to least squares procedures. This report summarizes the results. (Author)
“DTIC ADA113877: Small Sample Properties Of Robust Analysis Of Variance For Fixed And Random Effects Models.” Metadata:
- Title: ➤ DTIC ADA113877: Small Sample Properties Of Robust Analysis Of Variance For Fixed And Random Effects Models.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA113877: Small Sample Properties Of Robust Analysis Of Variance For Fixed And Random Effects Models.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Schrader,Ronald M - NEW MEXICO UNIV ALBUQUERQUE - *Analysis of variance - *Least squares method - Samplers - Random variables - Voids - Parameters - Estimates - Linearity - Mathematical models - Comparison
Edition Identifiers:
- Internet Archive ID: DTIC_ADA113877
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 5.34 Mbs, the file-s for this book were downloaded 41 times, the file-s went public at Thu Jan 04 2018.
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3DTIC AD0741760: Widely Usable Unconditional Models For Analysis Of Variance With Fixed Or Random Effects
By Defense Technical Information Center
Many results for statistical investigations are valid for more general models than were used in their development. This is the case for situations where independence (or zero correlation), equal variances, and sometimes joint normality are assumed for sets of random variables. This research investigates extended uses of standard results for some analysis of variance situations. Many methods are found to be usable with much more general models, although not all types of effects can be investigated. The research also provides investigation methods that are usable for all the effects. Moreover, the extended models associated with these methods are much more general than those for the standard methods.
“DTIC AD0741760: Widely Usable Unconditional Models For Analysis Of Variance With Fixed Or Random Effects” Metadata:
- Title: ➤ DTIC AD0741760: Widely Usable Unconditional Models For Analysis Of Variance With Fixed Or Random Effects
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC AD0741760: Widely Usable Unconditional Models For Analysis Of Variance With Fixed Or Random Effects” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Walsh, John E - SOUTHERN METHODIST UNIV DALLAS TX - *ANALYSIS OF VARIANCE - MATHEMATICAL MODELS - STATISTICAL TESTS - SAMPLING - DISTRIBUTION FUNCTIONS - RANDOM VARIABLES - MATRICES(MATHEMATICS)
Edition Identifiers:
- Internet Archive ID: DTIC_AD0741760
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 36.13 Mbs, the file-s for this book were downloaded 82 times, the file-s went public at Sun Feb 24 2019.
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