{"product_id":"9780387969282","title":"Parametric Statistical Models and Likelihood","description":"\u003cp\u003eThe book gives an account of the mathematical-statistical theory of the main classes of parametric statistical models, i.e. transformatioon models and exponential models, and of likelihood based inference. The emphasis is on recent developments - various new results are presented - and the mathematical techniques employed include parts of the theory of group actions and invariant measures, differential geometry, and asymptotic analysis. A knowledge of these techniques is not presupposed but will be helpful, as the exposition is partly quite succinct. A basic knowledge of classic parametric statistical inference is however assumed. Exactness results and high-order asymptotic results for important likelihood quantities, including maximum likelihood estimators, score vectors, (signed) likelihood ratios and (modified) profile likelihoods, are discussed. Concepts of ancillarity and sufficiency enter prominently.\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47012972757232,"sku":"9780387969282","price":139.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780387969282_p0.jpg?v=1763696485","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780387969282","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}