Effective Statistical Learning Methods for Actuaries I GLMs and Extensions
This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs)
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Main Authors: | , , |
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Format: | Book |
Language: | English |
Published: |
Switzerland
Springer Nature
2019
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Edition: | Print Book, English, 2019 |
Series: | Springer actuarial
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Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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041 | 0 | # | |a eng |
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100 | 1 | # | |a Denuit, Michel |e author |
245 | 0 | 0 | |a Effective Statistical Learning Methods for Actuaries I |b GLMs and Extensions |c Michel Denuit, Donatien Hainaut, Julien Trufin |
250 | # | # | |a Print Book, English, 2019 |
264 | # | 1 | |a Switzerland |b Springer Nature |c 2019 |
264 | # | 4 | |c ©2019 |
300 | # | # | |a xvi, 441 pages |b illustrations (some color) |c 24 cm |
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490 | 0 | # | |a Springer actuarial |
504 | # | # | |a Includes bibliographical references |
520 | # | # | |a This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs) |
526 | 0 | # | |a IJAZAH SARJANA MUDA (KEPUJIAN) SAINS AKTUARI |b CS242 |5 KOLEJ PENGAJIAN PENGKOMPUTERAN, INFORMATIK DAN MEDIA |
546 | # | # | |a In English |
650 | # | 0 | |a Actuarial science |
650 | # | 0 | |a Insurance |x Statistical methods |
650 | # | 0 | |a Linear models (Statistics) |
650 | # | 0 | |a Statistics |
700 | 1 | # | |a Hainaut, Donatien |e author |
700 | 1 | # | |a Trufin, Julien |e author |
830 | # | 0 | |a Springer actuarial |
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