Indian Mathematical Statistics for Transportation

P. C. Mahalanobis is considered the father of Indian Mathematical Statistics. He was a pioneer in the field of multivariate analysis and developed the Mahalanobis distance, which is a measure of the distance between two points in a multivariate space.

Sampling is a statistical method that is used to estimate the mean of a population from a sample. A sample is a subset of the population that is selected to represent the entire population.

Hypothesis testing is a statistical method that is used to test the hypothesis that two populations have the same mean. Hypothesis testing is used to determine whether there is a significant difference between the means of two populations.

Regression analysis is a statistical method that is used to model the relationship between two variables. Regression analysis is used to determine the equation of the line that best fits the data.

Analysis of variance is a statistical method that is used to compare the means of three or more populations. Analysis of variance is used to determine whether there is a significant difference between the means of three or more populations.

C. R. Rao is known for his work on design of experiments. He developed the Rao-Blackwell theorem, which is a fundamental result in the theory of estimation.

P. C. Mahalanobis is known for his work on multivariate analysis. He developed the Mahalanobis distance, which is a measure of the distance between two points in a multivariate space.

S. S. Wilks is known for his work on nonparametric statistics. He developed the Wilks theorem, which is a fundamental result in the theory of nonparametric statistics.

R. A. Fisher is known for his work on time series analysis. He developed the Fisher decomposition, which is a fundamental result in the theory of time series analysis.

C. R. Rao is known for his work on Bayesian statistics. He developed the Rao-Blackwell theorem, which is a fundamental result in the theory of Bayesian statistics.

P. C. Mahalanobis is known for his work on decision theory. He developed the Mahalanobis distance, which is a measure of the distance between two points in a multivariate space.

R. A. Fisher is known for his work on game theory. He developed the Fisher decomposition, which is a fundamental result in the theory of game theory.

C. R. Rao is known for his work on information theory. He developed the Rao-Blackwell theorem, which is a fundamental result in the theory of information theory.

S. S. Wilks is known for his work on coding theory. He developed the Wilks theorem, which is a fundamental result in the theory of coding theory.

R. A. Fisher is known for his work on cryptography. He developed the Fisher decomposition, which is a fundamental result in the theory of cryptography.