{"product_id":"9780387955315","title":"Nonparametric Goodness-of-Fit Testing Under Gaussian Models","description":"\u003cp\u003eThis book presents the modern theory of nonparametric goodness-of-fit testing. It fills the gap in modern nonparametric statistical theory by discussing hypothesis testing and addresses mathematical statisticians who are interesting in the theory of non-parametric statistical inference. It will be of interest to specialists who are dealing with applied non-parametric statistical problems relevant in signal detection and transmission and in technical and medical diagnostics among others.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47013085348080,"sku":"9780387955315","price":169.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780387955315_p0.jpg?v=1763696062","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780387955315","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}