[Springer Texts in Statistics] Asymptotic Theory of Statistics and Probability || Central Limit Theorem for Markov Chains

[Springer Texts in Statistics] Asymptoti

[Springer Texts in Statistics] Asymptotic Theory of Statistics and Probability || Goodness of Fit

✍ DasGupta, Anirban 📂 Article 📅 2008 🏛 Springer New York ⚖ 274 KB

[Springer Texts in Statistics] Fundament

[Springer Texts in Statistics] Fundamentals of Mathematical Statistics || Central Limit Theorems

✍ Nguyen, Hung T.; Rogers, Gerald S. 📂 Article 📅 1989 🏛 Springer New York 🌐 English ⚖ 690 KB

This Is The First Half Of A Text For A Two Semester Course In Mathematical Statistics At The Senior/graduate Level For Those Who Need A Strong Background In Statistics As An Essential Tool In Their Career. To Study This Text, The Reader Needs A Thorough Familiarity With Calculus Including Such Thing

[Springer Texts in Statistics] Fundament

[Springer Texts in Statistics] Fundamentals of Probability: A First Course || Markov Chains and Applications

✍ DasGupta, Anirban 📂 Article 📅 2010 🏛 Springer New York 🌐 English ⚖ 365 KB

Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability th

[Springer Texts in Statistics] Fundament

[Springer Texts in Statistics] Fundamentals of Probability: A First Course || Normal Approximations and the Central Limit Theorem

✍ DasGupta, Anirban 📂 Article 📅 2010 🏛 Springer New York 🌐 English ⚖ 446 KB

Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability th

[Lecture Notes in Statistics] Dependence

[Lecture Notes in Statistics] Dependence in Probability and Statistics Volume 187 || Regeneration-based statistics for Harris recurrent Markov chains

✍ Bertail, Patrice; Soulier, Philippe; Doukhan, Paul 📂 Article 📅 2006 🏛 Springer New York 🌐 English ⚖ 630 KB

Patrice Bertial, Paul Doukhan, Philippe Soulier (editors). Includes Bibliographical References.

On rates of convergence in a random cent

On rates of convergence in a random central limit theorem and in the central limit theorem for Markov chains

✍ E. Bolthausen 📂 Article 📅 1977 🏛 Springer 🌐 English ⚖ 211 KB