{"product_id":"introdction-to-measure-and-probability-9780521090322","title":"Introdction to Measure and Probability","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe authors believe that a proper treatment of probability theory requires an adequate background in the theory of finite measures in general spaces. The first part of their book sets out this material in a form which not only provides an introduction for intending specialists in measure theory but also meets the needs of students of probability.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; 1. Theory of sets; 2. Point set topology; 3. Set functions; 4. Construction and propertied of measures; 5. Definitions and properties of the integral; 6. Related spaces and measures; 7. The space of measurable functions; 8. Linear functionals; 9. Structure of measures in special spaces; 10. What is probability?; 11. Random variables; 12. Characteristic functions; 13. Independence; 14. Finite collections of random variables; 15. Stochastic processes.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":51767592747351,"sku":"9780521090322","price":49.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780521090322.jpg?v=1758713909","url":"https:\/\/bookcurl.com\/products\/introdction-to-measure-and-probability-9780521090322","provider":"Book Curl","version":"1.0","type":"link"}