Nonlinear statistical modelling is an area of growing importance.
This monograph presents mostly new results and methods concerning
the nonlinear regression model. Among the aspects which are
considered are linear properties of nonlinear models, multivariate
nonlinear regression, intrinsic and parameter effect curvature,
algorithms for calculating the L2-estimator and both local and
global approximation. In addition to this a chapter has been added
on the large topic of nonlinear exponential families. The volume
will be of interest to both experts in the field of nonlinear
statistical modelling and to those working in the identification of
models and optimization, as well as to statisticians in general.
General
| Imprint: |
Springer
|
| Country of origin: |
Netherlands |
| Series: |
Mathematics and Its Applications, 254 |
| Release date: |
December 2010 |
| First published: |
1993 |
| Authors: |
Andrej Pazman
|
| Dimensions: |
235 x 155 x 14mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
260 |
| Edition: |
Softcover reprint of hardcover 1st ed. 1993 |
| ISBN-13: |
978-90-481-4262-0 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
Promotions
|
| LSN: |
90-481-4262-8 |
| Barcode: |
9789048142620 |
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