{"product_id":"statistical-modeling-using-local-gaussian-approximation-paperback-9780128158616","title":"Statistical Modeling Using Local Gaussian Approximation (Paperback) 9780128158616","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistical Modeling Using Local Gaussian Approximation\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eHelps econometricians and applied statisticians obtain reliable results in nonlinear dependence and density modeling\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eDag Tjøstheim (Author), Håkon Otneim (Author), Bård Støve (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128158616, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 8 October 2021\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e458 pages\u003cbr\u003e22.9 x 15.2 x 2.9 cm, 0.7 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eStatistical Modeling using Local Gaussian Approximation\u003c\/i\u003e extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more.\u003c\/p\u003e  \u003cp\u003eAdditional chapters explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation,  Conditional density estimation, The local Gaussian partial correlation, Regression and conditional regression quantiles, and a A local Gaussian Fisher discriminant.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e2. Parametric, nonparametric, locally parametric\u003cbr\u003e3. Dependence\u003cbr\u003e4. Local Gaussian correlation and dependence\u003cbr\u003e5. Local Gaussian correlation and the copula\u003cbr\u003e6. Applications in finance\u003cbr\u003e7. Measuring dependence and testing for independence\u003cbr\u003e8. Time series dependence and spectral analysis\u003cbr\u003e9. Multivariate density estimation\u003cbr\u003e10. Conditional density estimation\u003cbr\u003e11. The local Gaussian partial correlation\u003cbr\u003e12. Regression and conditional regression quantiles\u003cbr\u003e13. A local Gaussian Fisher discriminant\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Business mathematics \u0026amp; systems [\u003ca title=\"See our other books on Business mathematics \u0026amp; systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Business%20mathematics%20\u0026amp;%20systems%20%5BKJQ%5D%22\"\u003eKJQ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46649976815896,"sku":"9780128158616","price":86.27,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128158616.jpg?v=1694104855","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/statistical-modeling-using-local-gaussian-approximation-paperback-9780128158616","provider":"Freshly Printed Books","version":"1.0","type":"link"}