ISBN-13: 9781785480836 / Angielski / Twarda / 2017 / 202 str.
This book examines a range of statistical inference methods in the context of finance and insurance applications, including asymptotical efficiency to give the proper notion of estimation risk, computations with the provided software R, and non-classical statistical experiments. As finance and insurance companies face a wide range of mathematical problems, and statistical experiments with independent and identically distributed samples are relatively common, this book covers topics of value to a wide group. Two examples are treated, including generalized linear models (GLM) extending to non-Gaussian samples (the standard regression method) and homogeneous Markov chains.