Results 251 to 260 of about 24,310,597 (280)
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Theory of essentially multivariate statistical analysis
Russian Mathematical Surveys, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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MULTIVARIATE STATISTICAL ANALYSIS IN FORMATION EVALUATION
Proceedings of SPE California Regional Meeting, 1978Hempkins, W. Brent, Standard Oil Company of California Abstract Multivariate techniques are powerful tools for aid in formation evaluation. Some uses of multiple regression, cluster, discriminant, and principle components analyses are given. Case history examples are presented to show how a particular
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Multivariate Statistical Analysis.
Journal of the American Statistical Association, 1981Chien-Pai Han, R. P. Gupta
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Applied Multivariate Statistical Analysis.
Applied Statistics, 1983Charles Dunn +2 more
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A Bibliography of Multivariate Statistical Analysis
International Statistical Review / Revue Internationale de Statistique, 1973David Hinkley +3 more
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Time Series Analysis and Multivariate Statistical Analysis.
1985Abstract : Research was carried out mainly in the areas of time series analysis and multivariate statistical analysis. The most important results in the first area apply to autoregressive and moving average processes. In the second area emphasis was on parameter consistency and elliptically contoured distributions.
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Multivariate Statistical Analysis for Data Analysis and Statistical Control
1999There has been an increasing interest in applying multivariate statistics to analysis of historical databases of process operation and designing multivariate statistical control systems. The methods introduced in this chapter include principal component analysis (PCA), partial least squares (PLS), and multi-way and nonlinear PCA.
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Multivariate Statistical Analysis
Journal of Marketing Research, 1983William R. Dillon +3 more
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Transformations of Statistics in Multivariate Analysis
1987There have been a lot of suggestions on how to transform variables in order to get some desirable properties. This paper is mainly concerned with the problem of normalizing and variance stabilizing transformations of statistics in multivariate analysis.
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