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Introduction to Probability and Statistics (2nd Edition) – PDF
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The Anthropology of Epidemics – PDF
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Eye Movement Research: An Introduction to its Scientific Foundations and Applications – PDF
Eye Movement Research: An Introduction to its Scientific Foundations and Applications – PDF $119.99 Original price was: $119.99.$12.00Current price is: $12.00.

Introduction to Probability and Statistics (2nd Edition) – PDF

$55.72 Original price was: $55.72.$7.99Current price is: $7.99.

eBook details

  • Author: Narayan C. Giri
  • File Size: 11 MB
  • Format: PDF
  • Length: 537 pages
  • Publisher: CRC Press; 2nd edition
  • Publication Date: January 22, 2019
  • Language: English
  • ASIN: B07M7XVF7J
  • ISBN-10: 0824790375, 0367402394
  • ISBN-13: 9780824790370, 9780367402396
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SKU: introduction-to-probability-and-statistics-2nd-edition-ebook-pdf Categories: E-Books, Education, Non Fiction, Others, PDF, Textbooks Tags: 0-8247-9037-5, 0824790375, 1351436694, 978-0367402396, 978-0824790370, 9780367402396, 9780824790370, 9781351436694, Giris, Stats
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Introduction to Probability and Statistics (2nd Edition) – eBook PDF

Beginning with the historical background of probability theory, this thoroughly revised textbook Introduction to Probability and Statistic 2nd edition (PDF) examines all important aspects of mathematical probability – including probability distributions, random variables, stochastic convergence, characteristic and generating functions, and limit theorems – and provides an introduction to various types of statistical problems, covering the broad range of statistical inference. Requiring a prerequisite in calculus for a complete understanding of the topics discussed, the 2nd Edition contains new material on: univariate distributions; multivariate distributions; decision theory; large-sample methods; and applications of ANOVA.

A primary textbook for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics 2e is for undergraduate students in a wide range of disciplines-statistics; mathematics, social science, probability, engineering, agriculture, biometry, economics, and education.

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