Results 121 to 130 of about 2,060,595 (185)

A multivariate data analysis approach for investigating daily statistics of countries affected with COVID-19 pandemic. [PDF]

Heliyon, 2020
Ramadan A, Kamel A, Taha A, El-Shabrawy A, Abdel-Fatah NA.   +4 more
europepmc   +1 more source

Analysis of Multivariate Social Science Data (2nd Edition) [PDF]

Patrick Mair
core   +1 more source

Multivariate data analysis of growth medium trends affecting antibody glycosylation. [PDF]

Biotechnol Prog, 2020
Powers DN, Trunfio N, Velugula-Yellela SR, Angart P, Faustino A, Agarabi C.   +5 more
europepmc   +1 more source

Discrimination of Cultivated Regions of Soybeans (Glycine max) Based on Multivariate Data Analysis of Volatile Metabolite Profiles. [PDF]

Molecules, 2020
Kim SY, Kim SY, Lee SM, Lee DY, Shin BK, Kang DJ, Choi HK, Kim YS.   +7 more
europepmc   +1 more source

Empirical development of a typology on residential long-term care units in Germany - results of an exploratory multivariate data analysis. [PDF]

BMC Health Serv Res, 2020
Bergmann JM, Ströbel AM, Holle B, Palm R.   +3 more
europepmc   +1 more source

Identification of Symptoms Prognostic of COVID-19 Severity: Multivariate Data Analysis of a Case Series in Henan Province.

J Med Internet Res, 2020
Li J, Li J, Chen Z, Nie Y, Ma Y, Guo Q, Dai X.   +6 more
europepmc   +1 more source

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Multivariate Data Analysis

Technometrics, 1973
Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each. Well-suited for the non-statistician, this applications-oriented introduction to multivariate
H. Herne, William W. Cooley, Paul R. Lohnes   +2 more
  +4 more sources

Multivariate Data Analysis

International Statistical Review / Revue Internationale de Statistique, 1972
I Introduction 1 Introduction II Preparing For a MV Analysis 2 Examining Your Data 3 Factor Analysis III Dependence Techniques 4 Multiple Regression Analysis 5 Multiple Discriminate Analysis and Logistic Regression 6 Multivariate Analysis of Variance 7 Conjoint Analysis IV Interdependence Techniques 8 Cluster Analysis 9 Multidimensional Scaling and ...
J. C. Gower, W. W. Cooley, P. R. Lohnes
openaire   +2 more sources

Multivariate data analysis of NMR data

Journal of Pharmaceutical and Biomedical Analysis, 1991
Multivariate methods based on principal components (PCA and PLS) have been used to reduce NMR spectral information, to predict NMR parameters of complicated structures, and to relate shift data sets to dependent descriptors of biological significance.
U, Edlund, H, Grahn
openaire   +2 more sources