NITIS MUKHOPADHYAY – PROBABILITY AND STATISTICAL INFERENCE

Priced very competitively compared with other textbooks at this level!
This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts.

Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference
 studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions
 develops notions of convergence in probability and distribution
 spotlights the central limit theorem (CLT) for the sample variance
 introduces sampling distributions and the Cornish-Fisher expansions
 concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity
 explains Basu’s Theorem as well as location, scale, and location-scale families of distributions
 covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramér-Rao inequality
 discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffé Theorems
 focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals
 includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient
 summarizes Bayesian methods
 describes the monotone likelihood ratio (MLR) property
 handles variance stabilizing transformations
 provides a historical context for statistics and statistical discoveries
 showcases great statisticians through biographical notes

Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory.

Get Nitis Mukhopadhyay – Probability and Statistical Inference on coursesblock.com

Nitis Mukhopadhyay, Probability and Statistical Inference, Download Probability and Statistical Inference, Free Probability and Statistical Inference, Probability and Statistical Inference Torrent, Probability and Statistical Inference Review, Probability and Statistical Inference Groupbuy.

Delivery Method

– After your purchase, you’ll see a View your orders link which goes to the Downloads page. Here, you can download all the files associated with your order.
– Downloads are available once your payment is confirmed, we’ll also send you a download notification email separate from any transaction notification emails you receive from coursesblock.com.
– Since it is a digital copy, our suggestion is to download and save it to your hard drive. In case the link is broken for any reason, please contact us and we will resend the new download link.
– If you cannot find the download link, please don’t worry about that. We will update and notify you as soon as possible at 8:00 AM – 8:00 PM (UTC 8).

Thank You For Shopping With Us!