Applied Statistics by is a widely utilized academic textbook, particularly in Indian universities, valued for its rigorous yet accessible treatment of statistical methods. While primarily published in physical format by the New Central Book Agency, excerpts and syllabus references are frequently found across academic repositories. Core Content & Features
Using modifications like linear Bayes and Bayesian robustness for more accurate survey sampling.
is a classic staple, especially for students and researchers in India. It bridges the gap between theoretical probability and real-world application.
If you're looking for a solid deep-dive into data analysis, Applied Statistics by Parimal Mukhopadhyay
: The structure is highly favored by students preparing for competitive exams like ISS (Indian Statistical Service) , CSIR-NET, and GATE. Key Topics Covered Probability and Distributions
| Topic | Example from the book | Why it’s interesting | |--------|------------------------|------------------------| | | Estimating crop damage using stratified sampling | Shows how to reduce cost vs. precision | | Regression diagnostics | Predicting housing prices – detecting outliers & multicollinearity | Moves beyond simple R² interpretation | | ANOVA | Comparing fertilizer types across multiple fields | Includes post-hoc tests and assumption checking | | Nonparametric tests | Analyzing income distributions without normality | Useful for skewed economic data | | Time series | Forecasting monsoon rainfall | Links statistics to real policy decisions |