Skip to Main Content
Modeling and Inverse Problems in the Presence of Uncertainty
book

Modeling and Inverse Problems in the Presence of Uncertainty

by H. T. Banks, Shuhua Hu, W. Clayton Thompson
April 2014
Intermediate to advanced content levelIntermediate to advanced
405 pages
13h
English
Chapman and Hall/CRC
Content preview from Modeling and Inverse Problems in the Presence of Uncertainty
Estimation of Probability Measures Using Aggregate Population Data 187
Because of the assumed ability to track individuals, the NPML method is
not directly applicable to aggregate data problems treated in this chapter. It
is also not clear if the restrictive assumptions on the error random variables
could be relaxed with least squares estimation us ed in the place of the maxi-
mum likelihood e stimation method. It is common to establish the equivalence
of least s quares and maximum likelihood estimators by demonstrating that
they solve the same set of estimating equations (see, e.g., [29, Chapter 3] and
Chapter 4 above on model s election). However, ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Nonlinear Inverse Problems in Imaging

Nonlinear Inverse Problems in Imaging

Jin Keun Seo, Eung Je Woo
Multimodal Scene Understanding

Multimodal Scene Understanding

Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino

Publisher Resources

ISBN: 9781482206432