MST 011 Real Analysis, Calculus and Geometry | Quick Readable Notes For IGNOU Exam 
MST 012 Probability and Probability Distributions | Quick Readable Notes For IGNOU Exam 
MST 013 Survey Sampling and Design of Experiments-I | Quick Readable Notes For IGNOU Exam 
MST 014 Statistical Quality Control and Time Series Analysis | Quick Readable Notes For IGNOU Exam 
MST 015 Introduction to R Software | Quick Readable Notes For IGNOU Exam 
MST 016 Statistical Inference | Quick Readable Notes For IGNOU Exam 
MST 017 Applied Regression Analysis | Quick Readable Notes For IGNOU Exam 
MST 018 Multivariate Analysis | Quick Readable Notes For IGNOU Exam 
MST 019 Epidemiology and Clinical Trials | Quick Readable Notes For IGNOU Exam 
MST 020 Survey Sampling and Design of Experiments-II | Quick Readable Notes For IGNOU Exam 
MST 021 Classical and Bayesian Inference | Quick Readable Notes For IGNOU Exam 
MST 023 Research Methodology | Quick Readable Notes For IGNOU Exam 
MST 024 Data Analysis with Python | Quick Readable Notes For IGNOU Exam 
MST 025 Categorical and Survival Analysis| Quick Readable Notes For IGNOU Exam 
MST 026 Introduction to Machine Learning | Quick Readable Notes For IGNOU Exam 
MSTE 011 Operations Research | Quick Readable Notes For IGNOU Exam 
MSTE 012 Stochastic Processes | Quick Readable Notes For IGNOU Exam MST 022 Linear Algebra and Multivariate Calculus...
Rs.149
| Product Name | Cart |
|---|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Applied Statistics) (MSCAST) |
| Products Code | : MSCAST-MST-S23-5.51 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 100-130 |
| Weight | : 157gms |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
MST 022 Linear Algebra and Multivariate Calculus covers essential mathematical concepts and techniques used in advanced mathematics and scientific disciplines. Topics include matrix operations, vector spaces, eigenvalues and eigenvectors, partial derivatives, gradients, multiple integrals, and vector calculus.
Benefits:
DISCLAIMER
The IGNOU solved assignments and guess papers provided on this platform are for reference purposes only and should not be used to engage in educational dishonesty. These materials serve as learning and study tools and are not intended for submission as original work. Users are responsible for using these materials ethically and in accordance with their educational institution's guidelines. We do not assume liability for any misuse or consequences resulting from the use of these materials. By accessing and utilizing these resources, users agree to this disclaimer.
Chat with us
