{"product_id":"9781461254515","title":"Extremes and Related Properties of Random Sequences and Processes","description":"Classical Extreme Value Theory-the asymptotic distributional theory for maxima of independent, identically distributed random variables-may be regarded as roughly half a century old, even though its roots reach further back into mathematical antiquity. During this period of time it has found significant application-exemplified best perhaps by the book Statistics of Extremes by E. J. Gumbel-as well as a rather complete theoretical development. More recently, beginning with the work of G. S. Watson, S. M. Berman, R. M. Loynes, and H. Cramer, there has been a developing interest in the extension of the theory to include, first, dependent sequences and then continuous parameter stationary processes. The early activity proceeded in two directions-the extension of general theory to certain dependent sequences (e.g., Watson and Loynes), and the beginning of a detailed theory for stationary sequences (Berman) and continuous parameter processes (Cramer) in the normal case. In recent years both lines of development have been actively pursued.","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47031167156464,"sku":"9781461254515","price":139.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781461254515_p0.jpg?v=1763673074","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781461254515","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}