Generalized Linear Mixed Models with Applications in Agriculture and Biology / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart.
This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is ad...
Saved in:
: | |
---|---|
TeilnehmendeR: | |
Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2023. |
Year of Publication: | 2023 |
Edition: | 1st ed. 2023. |
Language: | English |
Physical Description: | 1 online resource (434 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993669674904498 |
---|---|
ctrlnum |
(CKB)5700000000428112 (MiAaPQ)EBC30702995 (Au-PeEL)EBL30702995 (DE-He213)978-3-031-32800-8 (PPN)27227321X (OCoLC)1395078576 (EXLCZ)995700000000428112 |
collection |
bib_alma |
record_format |
marc |
spelling |
Salinas Ruíz, Josafhat. Generalized Linear Mixed Models with Applications in Agriculture and Biology [electronic resource] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart. 1st ed. 2023. Springer International Publishing 2023 Cham : Springer International Publishing : Imprint: Springer, 2023. 1 online resource (434 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Chapter 1) Elements of the Generalized Linear Mixed Models -- Chapter 2) Generalized Linear Models -- Chapter 3) Objectives in Model Inference -- Chapter 4) Generalized Linear Mixed Models for non-normal responses -- Chapter 5) Generalized Linear Mixed Models for Count response -- Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response -- Chapter 7) Times of occurrence of an event of interest -- Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses -- Chapter 9) Generalized Linear Mixed Models for Repeated Measurements. This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed. An alternative to analyse non-normal distributed response variables is the use of generalized linear models (GLM) to describe the response data with an exponential family distribution that perfectly fits the real response. Extending this idea to models with random effects allows the use of Generalized Linear Mixed Models (GLMMs). The use of these complex models was not computationally feasible until the recent past, when computational advances and improvements to statistical analysis programs allowed users to easily, quickly, and accurately apply GLMM to data sets. GLMMs have attracted considerable attention in recent years. The word "Generalized" refers to non-normal distributions for the response variable and the word "Mixed" refers to random effects, in addition to the fixed effects typical of analysis of variance (or regression). With the development of modern statistical packages such as Statistical Analysis System (SAS), R, ASReml, among others, a wide variety of statistical analyzes are available to a wider audience. However, to be able to handle and master more sophisticated models requires proper training and great responsibility on the part of the practitioner to understand how these advanced tools work. GMLM is an analysis methodology used in agriculture and biology that can accommodate complex correlation structures and types of response variables. Open Access Biometry. Multivariate analysis. Regression analysis. Agriculture. Biostatistics. Multivariate Analysis. Linear Models and Regression. 3-031-32799-3 Montesinos López, Osval Antonio. Hernández Ramírez, Gabriela. Crossa Hiriart, Jose. 9783031327995 |
language |
English |
format |
Electronic eBook |
author |
Salinas Ruíz, Josafhat. |
spellingShingle |
Salinas Ruíz, Josafhat. Generalized Linear Mixed Models with Applications in Agriculture and Biology Chapter 1) Elements of the Generalized Linear Mixed Models -- Chapter 2) Generalized Linear Models -- Chapter 3) Objectives in Model Inference -- Chapter 4) Generalized Linear Mixed Models for non-normal responses -- Chapter 5) Generalized Linear Mixed Models for Count response -- Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response -- Chapter 7) Times of occurrence of an event of interest -- Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses -- Chapter 9) Generalized Linear Mixed Models for Repeated Measurements. |
author_facet |
Salinas Ruíz, Josafhat. Montesinos López, Osval Antonio. Hernández Ramírez, Gabriela. Crossa Hiriart, Jose. |
author_variant |
r j s rj rjs |
author2 |
Montesinos López, Osval Antonio. Hernández Ramírez, Gabriela. Crossa Hiriart, Jose. |
author2_variant |
l o a m loa loam r g h rg rgh h j c hj hjc |
author2_role |
TeilnehmendeR TeilnehmendeR TeilnehmendeR |
author_sort |
Salinas Ruíz, Josafhat. |
title |
Generalized Linear Mixed Models with Applications in Agriculture and Biology |
title_full |
Generalized Linear Mixed Models with Applications in Agriculture and Biology [electronic resource] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart. |
title_fullStr |
Generalized Linear Mixed Models with Applications in Agriculture and Biology [electronic resource] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart. |
title_full_unstemmed |
Generalized Linear Mixed Models with Applications in Agriculture and Biology [electronic resource] / by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart. |
title_auth |
Generalized Linear Mixed Models with Applications in Agriculture and Biology |
title_new |
Generalized Linear Mixed Models with Applications in Agriculture and Biology |
title_sort |
generalized linear mixed models with applications in agriculture and biology |
publisher |
Springer International Publishing Springer International Publishing : Imprint: Springer, |
publishDate |
2023 |
physical |
1 online resource (434 pages) |
edition |
1st ed. 2023. |
contents |
Chapter 1) Elements of the Generalized Linear Mixed Models -- Chapter 2) Generalized Linear Models -- Chapter 3) Objectives in Model Inference -- Chapter 4) Generalized Linear Mixed Models for non-normal responses -- Chapter 5) Generalized Linear Mixed Models for Count response -- Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response -- Chapter 7) Times of occurrence of an event of interest -- Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses -- Chapter 9) Generalized Linear Mixed Models for Repeated Measurements. |
isbn |
3-031-32800-0 9783031328008 3-031-32799-3 9783031327995 |
callnumber-first |
Q - Science |
callnumber-subject |
QH - Natural History and Biology |
callnumber-label |
QH323 |
callnumber-sort |
QH 3323.5 |
illustrated |
Not Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
570 - Life sciences; biology |
dewey-ones |
570 - Life sciences; biology |
dewey-full |
570.15195 |
dewey-sort |
3570.15195 |
dewey-raw |
570.15195 |
dewey-search |
570.15195 |
oclc_num |
1395078576 |
work_keys_str_mv |
AT salinasruizjosafhat generalizedlinearmixedmodelswithapplicationsinagricultureandbiology AT montesinoslopezosvalantonio generalizedlinearmixedmodelswithapplicationsinagricultureandbiology AT hernandezramirezgabriela generalizedlinearmixedmodelswithapplicationsinagricultureandbiology AT crossahiriartjose generalizedlinearmixedmodelswithapplicationsinagricultureandbiology |
status_str |
n |
ids_txt_mv |
(CKB)5700000000428112 (MiAaPQ)EBC30702995 (Au-PeEL)EBL30702995 (DE-He213)978-3-031-32800-8 (PPN)27227321X (OCoLC)1395078576 (EXLCZ)995700000000428112 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Generalized Linear Mixed Models with Applications in Agriculture and Biology |
author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField |
_version_ |
1799736434097127424 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04335nam a22005775i 4500</leader><controlfield tag="001">993669674904498</controlfield><controlfield tag="005">20240521114943.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">230816s2023 sz | o |||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3-031-32800-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031328008</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-031-32800-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5700000000428112</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)EBC30702995</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL30702995</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)978-3-031-32800-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PPN)27227321X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1395078576</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995700000000428112</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QH323.5</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">PBT</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">SCI086000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">PBT</subfield><subfield code="2">thema</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570.15195</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Salinas Ruíz, Josafhat.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Generalized Linear Mixed Models with Applications in Agriculture and Biology</subfield><subfield code="h">[electronic resource] /</subfield><subfield code="c">by Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, Jose Crossa Hiriart.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2023.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">Springer International Publishing</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham :</subfield><subfield code="b">Springer International Publishing :</subfield><subfield code="b">Imprint: Springer,</subfield><subfield code="c">2023.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (434 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Chapter 1) Elements of the Generalized Linear Mixed Models -- Chapter 2) Generalized Linear Models -- Chapter 3) Objectives in Model Inference -- Chapter 4) Generalized Linear Mixed Models for non-normal responses -- Chapter 5) Generalized Linear Mixed Models for Count response -- Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response -- Chapter 7) Times of occurrence of an event of interest -- Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses -- Chapter 9) Generalized Linear Mixed Models for Repeated Measurements.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed. An alternative to analyse non-normal distributed response variables is the use of generalized linear models (GLM) to describe the response data with an exponential family distribution that perfectly fits the real response. Extending this idea to models with random effects allows the use of Generalized Linear Mixed Models (GLMMs). The use of these complex models was not computationally feasible until the recent past, when computational advances and improvements to statistical analysis programs allowed users to easily, quickly, and accurately apply GLMM to data sets. GLMMs have attracted considerable attention in recent years. The word "Generalized" refers to non-normal distributions for the response variable and the word "Mixed" refers to random effects, in addition to the fixed effects typical of analysis of variance (or regression). With the development of modern statistical packages such as Statistical Analysis System (SAS), R, ASReml, among others, a wide variety of statistical analyzes are available to a wider audience. However, to be able to handle and master more sophisticated models requires proper training and great responsibility on the part of the practitioner to understand how these advanced tools work. GMLM is an analysis methodology used in agriculture and biology that can accommodate complex correlation structures and types of response variables.</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">Open Access</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Biometry.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Multivariate analysis.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Regression analysis.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Agriculture.</subfield></datafield><datafield tag="650" ind1="1" ind2="4"><subfield code="a">Biostatistics.</subfield></datafield><datafield tag="650" ind1="2" ind2="4"><subfield code="a">Multivariate Analysis.</subfield></datafield><datafield tag="650" ind1="2" ind2="4"><subfield code="a">Linear Models and Regression.</subfield></datafield><datafield tag="650" ind1="2" ind2="4"><subfield code="a">Agriculture.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-031-32799-3</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Montesinos López, Osval Antonio.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hernández Ramírez, Gabriela.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Crossa Hiriart, Jose.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">9783031327995</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-05-22 08:38:28 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2023-09-07 12:04:59 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5351392280004498&Force_direct=true</subfield><subfield code="Z">5351392280004498</subfield><subfield code="b">Available</subfield><subfield code="8">5351392280004498</subfield></datafield></record></collection> |