{"product_id":"multivariate-statistical-methods","title":"Multivariate Statistical Methods","description":"\u003cp\u003eThis book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations. Multivariate nonlinear statistical models require the study of higher-order moments and cumulants. The main tool used for the definitions is the tensor derivative, leading to several useful expressions concerning Hermite polynomials, moments, cumulants, skewness, and kurtosis. A general test of multivariate skewness and kurtosis is obtained from this treatment. Exercises are provided for each chapter to help the readers understand the methods. Lastly, the book includes a comprehensive list of references, equipping readers to explore further on their own.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":57492477247861,"sku":"9783030813918","price":99.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9783030813918.jpg?v=1786529334","url":"https:\/\/backstory.london\/products\/multivariate-statistical-methods","provider":"Backstory","version":"1.0","type":"link"}