Buch, Englisch, Band 21, 172 Seiten, laminated boards, Format (B × H): 161 mm x 240 mm, Gewicht: 429 g
Buch, Englisch, Band 21, 172 Seiten, laminated boards, Format (B × H): 161 mm x 240 mm, Gewicht: 429 g
Reihe: Oxford Statistical Science Series
ISBN: 978-0-19-850705-5
Verlag: OUP Oxford
The development of statistical computing has had a huge impact on the subject, freeing statisticians from the need to perform tedious calculations and allowing researchers to perform progressively more complex operations. This book gives a coherent presentation of the theory underlying the computations, and provides a framework where computer algorithms are used to do much of the calculation inherent in statistics. Beginning with an outline of algorithms to cover much of an
undergraduate course in probability and statistics, it then goes on to discuss various common distributions, likelihood, bootstrap and sampling.
Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal steps forward are now being made in the area of symbolic computing, or in other words the use of computer languages and procedures to manipulate
expressions. This allows researchers to compute an algebraic expression, rather than evaluate the expression numerically over a given range. This book summarizes a decade of research into the use of symbolic computation applied to statistical inference problems. It shows the considerable potential of the subject to automate statistical calculation, leaving researchers free to concentrate on new concepts. Starting with the development of algorithms applied to standard undergraduate problems, the book then goes on to develop increasingly more powerful tools. Later chapters then discuss the application of these algorithms to different areas of statistical methodology.
