In This New Edition, Patrick Billingsley Updates His Classic Work Convergence Of Probability Measures To Reflect Developments Of The Past Thirty Years. Dr. Billingsley Presents A Clear, Precise, Up-to-date Account Of Probability Limit Theory In Metric Spaces. He Incorporates Many Examples And Applic
[Wiley Series in Probability and Statistics] Convergence of Probability Measures || Some Notes on the Problems
โ Scribed by Billingsley, Patrick
- Publisher
- John Wiley & Sons, Inc.
- Year
- 1999
- Tongue
- English
- Weight
- 934 KB
- Edition
- 2
- Category
- Article
- ISBN
- 0471197459
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โฆ Synopsis
In This New Edition, Patrick Billingsley Updates His Classic Work Convergence Of Probability Measures To Reflect Developments Of The Past Thirty Years. Dr. Billingsley Presents A Clear, Precise, Up-to-date Account Of Probability Limit Theory In Metric Spaces. He Incorporates Many Examples And Applications That Illustrate The Power And Utility Of This Theory In A Range Of Disciplines - From Analysis And Number Theory To Statistics, Engineering, Economics, And Population Biology.--book Jacket. Ch. 1. Weak Convergence In Metric Spaces -- Sect. 1. Measures On Metric Spaces -- Sect. 2. Properties Of Weak Convergence -- Sect. 3. Convergence In Distribution -- Sect. 4. Long Cycles And Large Divisors -- Sect. 5. Prohorov's Theorem -- Sect. 6. A Miscellany -- Ch. 2. The Space C -- Sect. 7. Weak Convergence And Tightness In C -- Sect. 8. Wiener Measure And Donsker's Theorem -- Sect. 9. Functions Of Brownian Motion Paths -- Sect. 10. Maximal Inequalities -- Sect. 11. Trigonometric Series -- Ch. 3. The Space D -- Sect. 12. The Geometry Of D -- Sect. 13. Weak Convergence And Tightness In D -- Sect. 14. Applications -- Sect. 15. Uniform Topologies -- Sect. 16. The Space D(0, [infinity]) -- Ch. 4. Dependent Variables -- Sect. 17. More On Prime Divisors -- Sect. 18. Martingales -- Sect. 19. Ergodic Processes -- Ch. 5. Other Modes Of Convergence -- Sect. 20. Convergence In Probability -- Sect. 21. Approximation By Independent Normal Sequences -- Sect. 22. Strassen's Theorem -- App. M. Metric Spaces. Analysis. Convexity. Probability. Patrick Billingsley. A Wiley-interscience Publication. Includes Bibliographical References And Indexes.
๐ SIMILAR VOLUMES
In This New Edition, Patrick Billingsley Updates His Classic Work Convergence Of Probability Measures To Reflect Developments Of The Past Thirty Years. Dr. Billingsley Presents A Clear, Precise, Up-to-date Account Of Probability Limit Theory In Metric Spaces. He Incorporates Many Examples And Applic
In This New Edition, Patrick Billingsley Updates His Classic Work Convergence Of Probability Measures To Reflect Developments Of The Past Thirty Years. Dr. Billingsley Presents A Clear, Precise, Up-to-date Account Of Probability Limit Theory In Metric Spaces. He Incorporates Many Examples And Applic
In This New Edition, Patrick Billingsley Updates His Classic Work Convergence Of Probability Measures To Reflect Developments Of The Past Thirty Years. Dr. Billingsley Presents A Clear, Precise, Up-to-date Account Of Probability Limit Theory In Metric Spaces. He Incorporates Many Examples And Applic
Quite often the main objective in a study is to compare two treatments: experimental and control. When these treatments are applied to a set of experimental units, the outcomes can be of two types, qualitative and quantitative, leading to either proportions or means. Accordingly, effect sizes are al