Multivariate Statistics Made Simple - Sarma, K V S
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Présentation Multivariate Statistics Made Simple Format Relié
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This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. The illustrations are based on real case studies from a super specialty hospital where active research is going on.show more
Résumé :
This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. The illustrations are based on real case studies from a super specialty hospital where active research is going on....
Biographie: Dr K.V.S. Sarma served as a professor of Statistics in Sri Venkateswara University since 1977 till 2016. He taught various subjects of statistics for 39 years which include Operations Research, Statistical Quality Control, Probability theory, Computer programming. His areas of Research Interests are Inventory modeling, Sampling plans and Data Analysis. He has guided 20 Ph.D theses on diverse topics and published more than 60 research articles in reputed international journals. He has authored a book titled 'Statistics Made Simple' using Excel and SPSS, apart from Dr Rudravaram Vishnu Vardhan is currently working as Assistant Professor in the Department of Statistics, Pondicherry Central University, Puducherry. His areas of research are Biostatistics - classification techniques...
delivering lectures on software based analysis and interpretation. He has delivered more than 100 invited talks in various conferences and training programmes and he is a life member of the Indian Society for Probability
and Statistics (ISPS), the Operations Research Society of India. He is a consultant to clinical researchers and currently working as Biostatistician cum Research Coordinator in Sri Venkateswara Institute of Medical Sciences (SVIMS).
Sommaire:
Multivariate Statistical Analysis - An Overview.? Comparison of Multivariate Means. Comparison of Multivariate Means. Analysis of Variance with Multiple Factors. Multivariate Analysis of Variance (MANOVA). Analysis of Repeated Measures Data. Multiple Linear Regression Analysis. Classification Problems in Medical Diagnosis. Binary Classification with Linear Discriminant Analysis. Logistic Regression for Binary Classification. Survival Analysis and Cox Regression. Poisson Regression Analysis. Cluster Analysis and its applications....
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