| Christopher G. Small, Jinfang Wang - Science - 2003 - 309 pages
This text provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It contains extensive coverage and comparison ... | |
| Christopher G. Small, Jinfang Wang - Science - 2003 - 309 pages
This text provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It contains extensive coverage and comparison ... | |
| Christopher G. Small - Mathematics - 2007 - 131 pages
Many books have been written on the theory of functional equations, but very few help readers solve functional equations in mathematics competitions and mathematical problem ... | |
| Christopher G. Small, Don L. McLeish - Mathematics - 2011 - 270 pages
Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration ... | |
| D.L. McLeish, Christopher G. Small - Mathematics - 2012 - 124 pages
This monograph arose out of a desire to develop an approach to statistical infer ence that would be both comprehensive in its treatment of statistical principles and ... | |
| Thomas A. Severini - Mathematics - 2005
This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as well as for researchers who use ... | |
| E.L. Lehmann - Mathematics - 2006 - 632 pages
Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. It discusses a broad range of ... | |
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