Bose arup (168 resultados)

Hardcover. Condición: New. ISBN:9789386279712,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Hardcover. Condición: New. ISBN:9789386279712.

Condición: New.

Hardcover. Condición: New. ISBN:9788195782963.

Condición: New.

Hardcover. Condición: New. ISBN:9788198831767,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Condición: New.

Condición: New.

Hardcover. Condición: New. 1st Edition. Contents: Preface. 1. Introduction to U-statistics. 2. Mm-estimators and U-statistics. 3. Introduction to resampling. 4. Resampling U-statistics and M-estimators. 5. An Introduction to R. Bibliography. Author Index. Subject Index. This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The final chapter is on practical implementation of the methods presented in other chapters, using the free software R.…

23.5 cm x 15.5 cm, 456 g. XV, 174 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Texts and Readings in Mathematics, 75. Sprache: Englisch.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

hardcover. Condición: Fine.

hardcover. Condición: Very Good. Cover and edges may have some wear.

Hardcover. Condición: New. Contents: 1. Measure. 2. Signed measure. 3. Conditional expectation. 4. Martingales. 5. Almost sure and Lp convergence. 6. Application of convergence theorems. 7. Central limit theorem. 8. Additional Topics. This little book, suitable for masters and Ph.D. programs, covers basic results on discrete time martingales and their applications. It includes some additional interesting and useful topics. Adequate details are provided, with exercises within the text and at the end of chapters. Basic results include Doob's optional sampling theorem, Wald identities, Doob's maximal inequality, upcrossing lemma, time-reversed martingales, a variety of convergence results, and a limited discussion of the Burkholder inequalities. Applications include the 0-1 laws of Kolmogorov and Hewitt-Savage, the strong laws for U-statistics and for exchangeable sequences, de-Finetti's theorem for exchangeable sequences, and Kakutani's theorem for product martingales. A simple central limit theorem for martingales is proven and applied to a basic urn model, the trace of a random matrix, and Markov chains. Some of the additional topics covered are forward martingale representation for U-statistics, conditional Borel-Cantelli lemma, Azuma-Hoeffding inequality, conditional three series theorem, strong law for martingales, and the Kesten-Stigum theorem for a simple branching process. A first course in measure theoretic probability is a prerequisite. We have recollected its essential concepts and results, mostly without proofs.…

Hardcover. Condición: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: new. Hardcover. This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R. This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Hardcover. Condición: New. Contents: Preface. 1. Preliminaries. 2. Classes of sets. 3. Introduction to measures. 4. Extension of measures. 5. Lebesgue-Stieltjes measures. 6. Measurable functions. 7. Integral. 8. Basic inequalities. 9. Lp spaces: topological properties. 10. Product spaces and transition measures. 11. Random variables and vectors. 12. Moments and cumulants. 13. Further modes of convergence of functions. 14. Independence and basic conditional probability. 15.laws. 16. Sums of independent random variables. 17. Convergence of finite measures. 18. Characteristic function. 19. Central limit theorem. 20. Signed measure. 21. Radon-Nikodym theorem. 22. Fundamental theorem of calculus. 23. Conditional expectation. Bibliography. Author Index. Subject Index. This is an introduction to Measure Theory and Measure Theoretic Probability at the upper undergraduate and graduate levels. A familiarity with real analysis is required. Some background in basic probability would be helpful,  but is not essential. The book can be used for courses in both mathematics and mathematical statistics. All the standard topics in measure theory and probability are covered. A large number of exercises are provided throughout the book.…