MST 011 Real Analysis, Calculus and Geometry | IN-DEPTH STUDY GUID for IGNOU 
MST 012 Probability and Probability Distributions | IN-DEPTH STUDY GUIDE for IGNOU 
MST 013 Survey Sampling and Design of Experiments-I | IN-DEPTH STUDY GUIDE for IGNOU 
MST 014 Statistical Quality Control and Time Series Analysis | IN-DEPTH STUDY GUIDE for IGNOU 
MST 015 Introduction to R Software | IN-DEPTH STUDY GUIDE for IGNOU 
MST 016 Statistical Inference| IN-DEPTH STUDY GUIDE for IGNOU 
MST 017 Applied Regression Analysis | IN-DEPTH STUDY GUIDE for IGNOU 
MST 018 Multivariate Analysis | IN-DEPTH STUDY GUIDE for IGNOU 
MST 019 Epidemiology and Clinical Trials | IN-DEPTH STUDY GUIDE for IGNOU 
MST 020 Survey Sampling and Design of Experiments-II| IN-DEPTH STUDY GUIDE for IGNOU 
MST 021 Classical and Bayesian Inference | IN-DEPTH STUDY GUIDE for IGNOU 
MST 022 Linear Algebra and Multivariate Calculus | IN-DEPTH STUDY GUIDE for IGNOU 
MST 023 Research Methodology | IN-DEPTH STUDY GUIDE for IGNOU 
MST 024 Data Analysis with Python | IN-DEPTH STUDY GUIDE for IGNOU 
MST 025 Categorical and Survival Analysis | IN-DEPTH STUDY GUIDE for IGNOU 
MST 026 Introduction to Machine Learning | IN-DEPTH STUDY GUIDE for IGNOU 
MSTE 011 Operations Research | IN-DEPTH STUDY GUIDE for IGNOU 
MSTE 012 Stochastic Processes | IN-DEPTH STUDY GUIDE for IGNOU MST 011 Real Analysis, Calculus and Geometry |...
Rs.299
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| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Applied Statistics) (MSCAST) |
| Products Code | : MSCAST-MST-S1-5.51 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 300 |
| Weight | : 199 GM |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
MST 011 Real Analysis, Calculus and Geometry is designed to equip MSCAST students with a solid foundation in mathematical theories crucial for statistical applications. It covers the core principles of real analysis, explores how calculus is applied in statistical methodologies, delves into geometric interpretations relevant to applied statistics, and provides essential mathematical techniques needed for advanced statistical analysis.
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