Statistical Methods Detailed Syllabus for Geo-Informatics and Surveying Technology M.Tech first year first sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Statistical Methods M.Tech 2017-2018 (R17) first year first sem is as follows.
M.Tech. I Year I Sem.
Course Objectives: to understand the role of statistic and probability in the spatial data analysis and design
Course Outcomes: at the end of the course the student will able to learn to Understand/(Solve the problems using) the advanced statistical approaches, Identify the statistical methods for solving geospatial problems, apply the advanced statistical methods for image processing and to use geostatistics for studying spatially varying phenomena
UNIT-I: Basic Statistics: Sources of Data, Organization of Data, The Histogram, Measures of central tendency, Mean Deviation, Standard Deviation, Correlation, Coefficient of correlation, Rank correlation, Regression.
UNIT-II: Probability: equally likely, mutually exclusive events, definitions of probability, additions & multiplication theorems of probability and problems based on them. Bayesian approach, distributions; Poisson, normal, Erlang, Gamma and Weibull probability distributions
UNIT-III: Multivariate Data: Random Vectors and Matrices, sample estimate of centroid, standard deviation, SSCP, dispersion, variance, covariance, correlation matrices.
UNIT-IV: Multivariate Regression Models, Multiple linear Regression: Multiple parameter estimation by method of least squares, tests of significance use of dummy variables, problems associated with multi colinearity, heteroscadasticity.
UNIT-V: Geostatistics- Pattern Analysis, Measures of Arrangements & dispersion, Auto Correlation, Semiveriogram, Kriging;
TEXT BOOKS:
- Gupta, S.C. and Kapoor, V.K., “Fundamentals of Mathematics Statistics”, Sultan Chand and Sons, 2001.
- Johnson, R.J., “Miller and Freund’s Probability and Statistics for Engineers” 6th Edition, Prentice Hall of India, 2002.
REFERENCES:
- Jay L. Devore, “Probability and statistics for Engineering and the Sciences”, Thomson and Duxbbury, 2002.
- Sarma, D.D. “Geostatistics with Applications in Earth Sciences”, Capital Publishing Company, 2002.
- Cooley W. W and Lohnes P.R .- Multivariate Data Analysis, John Wiley and Sons,1971.
For all other M.Tech 1st Year 1st Sem syllabus go to JNTUH M.Tech Geo-Informatics and Surveying Technology 1st Year 1st Sem Course Structure for (R17) Batch.
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