{"product_id":"9780387961415","title":"Springer Series in Statistics","description":"\u003ch1\u003eSpringer Series in Statistics\u003c\/h1\u003e \u003ch2\u003eDzhaparidze, K.; Kotz, Samuel\u003c\/h2\u003e \u003cp\u003e. . ) (under the assumption that the spectral density exists). For this reason, a vast amount of periodical and monographic literature is devoted to the nonparametric statistical problem of estimating the function tJ( T) and especially that of leA) (see, for example, the books [4,21,22,26,56,77,137,139,140,]). However, the empirical value t;; of the spectral density I obtained by applying a certain statistical procedure to the observed values of the variables Xl' . . . , X , usually depends in n a complicated manner on the cyclic frequency). . This fact often presents difficulties in applying the obtained estimate t;; of the function I to the solution of specific problems rela ted to the process X . Theref ore, in practice, the t obtained values of the estimator t;; (or an estimator of the covariance function tJ~( T» are almost always \"smoothed,\" i. e. , are approximated by values of a certain sufficiently simple function 1 = 1\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1985-11-20\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780387961415\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4612-4842-2\u003c\/p\u003e \u003cp\u003eDimensions: cm xcm\u003c\/p\u003e \u003cp\u003ePages: 324\u003c\/p\u003e ","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":46265535299724,"sku":"9780387961415","price":89.1,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780387961415.jpg?v=1770782711","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780387961415","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}