01786 a2200229 4500
140323b2007 xxu||||| |||| 00| 0 eng d
9780521847032
519.6
B7A7
Brazzale, A. R.
222059
Applied asymptotics: case studies in small-sample statistics
2007
Cambridge University Press
Cambridge
viii, 236 p.
UKP
43.00
Cambridge series in statistical and probabilistic mathematics
123558
Includes bibliographical references and index.
In fields such as biology, medical sciences, sociology, and economics researchers often face the situation where the number of available observations, or the amount of available information, is sufficiently small that approximations based on the normal distribution may be unreliable. Theoretical work over the last quarter-century has led to new likelihood-based methods that lead to very accurate approximations in finite samples, but this work has had limited impact on statistical practice. This book illustrates by means of realistic examples and case studies how to use the new theory, and investigates how and when it makes a difference to the resulting inference. The treatment is oriented towards practice and comes with code in the R language (available from the web) which enables the methods to be applied in a range of situations of interest to practitioners. The analysis includes some comparisons of higher order likelihood inference with bootstrap or Bayesian methods.
Mathematics - Statistics
131551
Statistical hypothesis testing - Asymptotic theory
221234
Davison, A. C.
135662
Reid, N.
221235
BK
176510
176510
0
0
0
0
NFIC
VSL
VSL
GEN
2013-04-25
12
2982.48
1
25
519.6 B7A7
178958
2021-09-23
2013-04-26
3728.10
BK