Get Free Shipping on orders over $79
FENCE METHODS, THE - JIANG JIMING

FENCE METHODS, THE

By: JIANG JIMING

Hardcover | 23 September 2015

At a Glance

Hardcover


RRP $172.99

$155.75

10%OFF

or 4 interest-free payments of $38.94 with

 or 

Ships in 15 to 25 business days

This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations. The idea involves a procedure to isolate a subgroup of what are known as correct models, of which the optimal model is a member. This is accomplished by constructing a statistical fence, or barrier, to carefully eliminate incorrect models. Once the fence is constructed, the optimal model is selected from amongst those within the fence according to a criterion which can be made flexible. In particular, the criterion of optimality can incorporate consideration of practical interest, thus making model selection a real life practice.Furthermore, this book introduces a data-driven approach, called adaptive fence, which can be used in a wide range of problems involving determination of tuning parameters, or constants. Instead of relying on asymptotic theory, the fence focuses on finite-sample performance, and computation. Such features are particularly suitable to statistics in the new era.

More in Probability & Statistics

Implementing R for Statistics - Christophe  Chesneau

RRP $180.95

$165.75

Introduction to Medical Statistics : 4th edition - Martin Bland

RRP $70.95

$62.75

12%
OFF
Research Methods and Statistics in Psychology : 8th Edition - Hugh Coolican
Rationality : What It Is, Why It Seems Scarce, Why It Matters - Steven Pinker
Sampling Theory and Practice - Casey Murphy
Practical Statistics - Nancy Maxwell

$443.75

Foundations of Statistics - Everett Davies
Mathematical Statistics with Applications : 7th Edition - Dennis Wackerly
Statistics for The Behavioral Sciences : 10th Edition - Frederick J. Gravetter
Naked Statistics : Stripping the Dread from the Data - Charles Wheelan