{"product_id":"on-the-estimation-of-multiple-random-integrals-and-u-statistics-2079-lecture-notes-in-mathematics","title":"On the Estimation of Multiple Random Integrals and U-Statistics: 2079 (Lecture Notes in Mathematics)","description":"\u003cp\u003e\u003cstrong\u003eBook Details\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u003c\/strong\u003e: Péter Major\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEdition\u003c\/strong\u003e: 2013\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBinding\u003c\/strong\u003e: Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eISBN\u003c\/strong\u003e: 9783642376160\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePages\u003c\/strong\u003e: 288\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCover\u003c\/strong\u003e: Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e: 9.2 x 6.0 x 0.7 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLanguages\u003c\/strong\u003e: English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAbout The Book\u003c\/strong\u003e\u003cbr\u003eThis work explores limit theorems in probability theory where classical methods fail to provide effective solutions. By employing a linearization technique, the book simplifies complex problems and ensures that any resulting error from linearization is negligible. This error estimation leads to key large deviation-type problems, which form the core subject of the book.\u003c\/p\u003e\n\u003cp\u003eThe primary focus is on providing sharp estimates of the tail distributions for multiple integrals with respect to normalized empirical measures and degenerate U-statistics. Additionally, it addresses the supremum of appropriate classes of such quantities. To accomplish this, the book applies modern probability techniques, enabling an in-depth analysis of non-linear functionals of independent random variables.\u003c\/p\u003e\n\u003cp\u003eThe work is aimed at readers looking for new approaches and tools for proving limit theorems in situations where traditional methods are ineffective. It's a valuable resource for those in advanced probability theory, providing insights and methodologies for tackling challenging problems in this field.\u003c\/p\u003e","brand":"Springer-Verlag","offers":[{"title":"Default Title","offer_id":49938897273136,"sku":"Sarat_9783642376160","price":3780.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/springer-verlag-book-default-title-on-the-estimation-of-multiple-random-integrals-and-u-statistics-2079-lecture-notes-in-mathematics-41285023367472.jpg?v=1775948197","url":"https:\/\/www.retailmaharaj.com\/bn\/products\/on-the-estimation-of-multiple-random-integrals-and-u-statistics-2079-lecture-notes-in-mathematics","provider":"Retail Maharaj","version":"1.0","type":"link"}