TY - JOUR AB - 1204 Book Revi ews The b ook c omprises 13 chap ters, with the rst 4 c hapters being th e core. extremes. These examples recur in later chapters and are analyzed with a ppro- Chapter 1 in troduces th e meth od o f e mpirical likelihood a nd d escribes its priate techn iques as they a re introduced. Be sides a brief int roduction to th e advantages and d isadvantages as compared to th e p arametric likelihood a nd basic limit th eory for on e- and m ore-dimensional tec hniques, su ch me thod- the b ootstrap m ethods. C hapter 2 d evelops e mpirical likelihood i nference via ological app roaches as threshold m ethods a nd p oint-process techn iques give nonparametric l ikelihood ratio statisti cs and p resents a simple example of the reader the mo st b asic probabilistic t ools. An int erludium chap ter o n st a- the co nstruction of a con d ence interval for a univariate mea n. Chapter 3 tistical modeling fres hens up th e re ader’s knowledge o n st atistical estimation gives an exten sion to TI - An Introduction to Statistical Modeling of Extreme Values JF - Journal of the American Statistical Association DO - 10.1198/jasa.2002.s232 DA - 2002-12-01 UR - https://www.deepdyve.com/lp/taylor-francis/an-introduction-to-statistical-modeling-of-extreme-values-1Il1o9RY0s SP - 1204 EP - 1204 VL - 97 IS - 460 DP - DeepDyve ER -