|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
SCIDIR_on1076271791 |
003 |
OCoLC |
005 |
20231120010329.0 |
006 |
m o d |
007 |
cr cnu---unuuu |
008 |
181126t20182018enk ob 001 0 eng d |
040 |
|
|
|a N$T
|b eng
|e rda
|e pn
|c N$T
|d N$T
|d OPELS
|d EBLCP
|d YDX
|d UKMGB
|d MERER
|d OCLCF
|d OCLCQ
|d LQU
|d OCLCQ
|d S2H
|d OCLCO
|d LVT
|d OCLCQ
|d OCLCO
|d K6U
|d OCLCQ
|d SFB
|d OCLCQ
|d OCLCO
|
015 |
|
|
|a GBB8H6180
|2 bnb
|
016 |
7 |
|
|a 019062779
|2 Uk
|
019 |
|
|
|a 1076417602
|a 1105196872
|a 1105575137
|a 1229508109
|
020 |
|
|
|a 9780081023747
|q (electronic bk.)
|
020 |
|
|
|a 008102374X
|q (electronic bk.)
|
020 |
|
|
|z 1785482661
|
020 |
|
|
|z 9781785482663
|
035 |
|
|
|a (OCoLC)1076271791
|z (OCoLC)1076417602
|z (OCoLC)1105196872
|z (OCoLC)1105575137
|z (OCoLC)1229508109
|
050 |
|
4 |
|a QA276
|
072 |
|
7 |
|a MAT
|x 003000
|2 bisacsh
|
072 |
|
7 |
|a MAT
|x 029000
|2 bisacsh
|
082 |
0 |
4 |
|a 519.5
|2 23
|
100 |
1 |
|
|a Dupuy, Jean-Fran�cois,
|e author.
|
245 |
1 |
0 |
|a Statistical methods for overdispersed count data /
|c Jean-Fran�cois Dupuy.
|
264 |
|
1 |
|a London, UK :
|b ISTE Press Ltd ;
|a Kidlington, Oxford :
|b Elsevier Ltd,
|c 2018.
|
264 |
|
4 |
|c �2018
|
300 |
|
|
|a 1 online resource
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
|
|a Biostatistics and health science set
|
504 |
|
|
|a Includes bibliographical references and index.
|
588 |
0 |
|
|a Print version record.
|
505 |
0 |
|
|a Front Cover; Statistical Methods for Overdispersed Count Data; Copyright Page; Contents; Introduction; 1. Brief Overview of Linear Models; 1.1. Introduction; 1.2. The standard linear model; 1.3. Least squares estimator; 1.4. The Gaussian linear model; 1.5. Linear models in R; 1.6. Asymptotic properties; 2. Generalized Linear Models; 2.1. Exponential families; 2.2. The components of a generalized linear model; 2.3. Maximum likelihood estimator; 2.4. Binomial regression; 2.5. Poisson regression; 2.6. Generalized linear models in R; 3. Overdispersion in Count Data; 3.1. Introduction
|
505 |
8 |
|
|a 3.2. The quasi-Poisson model3.3. The negative binomial regression model; 3.4. Application to the NMES1988 data; 4. Count Data and Zero Inflation; 4.1. Introduction; 4.2. ZIP regression model; 4.3. ZIB regression model; 4.4. Example of an application of the ZIP and ZIB models in healthcare economics; 4.5. ZIM regression model; References; Index; Back Cover
|
650 |
|
0 |
|a Linear models (Statistics)
|
650 |
|
0 |
|a Biometry.
|
650 |
|
0 |
|a R (Computer program language)
|
650 |
|
2 |
|a Biometry
|0 (DNLM)D001699
|
650 |
|
6 |
|a Biom�etrie.
|0 (CaQQLa)201-0041293
|
650 |
|
6 |
|a R (Langage de programmation)
|0 (CaQQLa)201-0368319
|
650 |
|
7 |
|a biometrics.
|2 aat
|0 (CStmoGRI)aat300054526
|
650 |
|
7 |
|a MATHEMATICS
|x Applied.
|2 bisacsh
|
650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
|
650 |
|
7 |
|a Biometry
|2 fast
|0 (OCoLC)fst00832611
|
650 |
|
7 |
|a Linear models (Statistics)
|2 fast
|0 (OCoLC)fst00999084
|
650 |
|
7 |
|a R (Computer program language)
|2 fast
|0 (OCoLC)fst01086207
|
776 |
0 |
8 |
|i Print version:
|a DUPUY, JEAN-FRANCOIS.
|t STATISTICAL METHODS FOR OVERDISPERSED COUNT DATA.
|d [Place of publication not identified] : ISTE PRESS LTD - ELSEVIER, 2018
|z 1785482661
|w (OCoLC)1007074136
|
830 |
|
0 |
|a Biostatistics and health science set (Series)
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9781785482663
|z Texto completo
|