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Manoj Kumar Srivastava is the author of two prominent textbooks on statistical inference: Statistical Inference: Testing of Hypotheses (2009) and its sequel, Statistical Inference: Theory of Estimation
While full-text "free" PDFs of these copyrighted textbooks are generally not legally available through standard search, you can access legitimate samples, purchase digital copies, or find them in academic libraries: Digital Samples Statistical Inference By Manoj Kumar Srivastava Pdf
Statistical inference is important because it allows us to make informed decisions or predictions about a population based on a sample of data. In many fields, it is not feasible or practical to collect data from the entire population. Therefore, statistical inference provides a way to make conclusions about a population based on a representative sample of data. Manoj Kumar Srivastava is the author of two
, including the Rao-Blackwell and Lehmann-Scheffé theorems. Variance Bounds: Hypothesis Testing: The Logic of Doubt , including
Real life doesn’t always fit a bell curve. This part of the book covers tests that don't assume a specific distribution, such as:
No book is perfect. Advanced learners sometimes note that Srivastava’s text lacks depth in modern computational inference (like bootstrap or MCMC). Furthermore, the printing quality of older editions is sometimes poor, leading students to prefer the clean OCR of a well-made PDF.
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