Here, the book will dive into parameter estimation, including .
: Estimation theory (unbiasedness, consistency, efficiency, sufficiency) and the testing of statistical hypotheses (Neyman-Pearson lemma, likelihood ratio tests).
Understanding Mathematical Statistics by Parimal Mukhopadhyay Here, the book will dive into parameter estimation,
Detailed discussion on probability spaces, random variables, and expectation.
Depending on the edition, this may include chapters on . including . : Estimation theory (unbiasedness
Extensive coverage of distributions related to normal populations (t, F, chi-square).
An interactive multimedia course of study. and expectation. Depending on the edition
: Covers probability axioms, discrete and continuous distributions, and the convergence of random variables.