A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model

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Standard

A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model. / Kristensen, Anders Ringgaard; Søllested, Thomas Algot.

I: Livestock Science, Bind 87, Nr. 1, 2004, s. 13-24.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Kristensen, AR & Søllested, TA 2004, 'A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model', Livestock Science, bind 87, nr. 1, s. 13-24. https://doi.org/10.1016/j.livprodsci.2003.07.004

APA

Kristensen, A. R., & Søllested, T. A. (2004). A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model. Livestock Science, 87(1), 13-24. https://doi.org/10.1016/j.livprodsci.2003.07.004

Vancouver

Kristensen AR, Søllested TA. A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model. Livestock Science. 2004;87(1):13-24. https://doi.org/10.1016/j.livprodsci.2003.07.004

Author

Kristensen, Anders Ringgaard ; Søllested, Thomas Algot. / A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model. I: Livestock Science. 2004 ; Bind 87, Nr. 1. s. 13-24.

Bibtex

@article{b1b5060017af11de8478000ea68e967b,
title = "A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model",
abstract = "Several replacement models have been presented in literature. In other applicational areas like dairy cow replacement, various methodological improvements like hierarchical Markov processes and Bayesian updating have been implemented, but not in sow models. Furthermore, there are methodological improvements like multi-level hierarchical Markov processes with decisions on multiple time scales, efficient methods for parameter estimations at herd level and standard software that has been hardly implemented at all in any replacement model. The aim of this study is to present a sow replacement model that really uses all these methodological improvements. In this paper, the biological model describing the performance and feed intake of sows is presented. In particular, estimation of herd specific parameters is emphasized. The optimization model is described in a subsequent paper",
keywords = "Former Faculty of Life Sciences",
author = "Kristensen, {Anders Ringgaard} and S{\o}llested, {Thomas Algot}",
year = "2004",
doi = "10.1016/j.livprodsci.2003.07.004",
language = "English",
volume = "87",
pages = "13--24",
journal = "Livestock Science",
issn = "1871-1413",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - A sow replacement model using Bayesian updating in a three-level hierarchic Markov process. I. Biological model

AU - Kristensen, Anders Ringgaard

AU - Søllested, Thomas Algot

PY - 2004

Y1 - 2004

N2 - Several replacement models have been presented in literature. In other applicational areas like dairy cow replacement, various methodological improvements like hierarchical Markov processes and Bayesian updating have been implemented, but not in sow models. Furthermore, there are methodological improvements like multi-level hierarchical Markov processes with decisions on multiple time scales, efficient methods for parameter estimations at herd level and standard software that has been hardly implemented at all in any replacement model. The aim of this study is to present a sow replacement model that really uses all these methodological improvements. In this paper, the biological model describing the performance and feed intake of sows is presented. In particular, estimation of herd specific parameters is emphasized. The optimization model is described in a subsequent paper

AB - Several replacement models have been presented in literature. In other applicational areas like dairy cow replacement, various methodological improvements like hierarchical Markov processes and Bayesian updating have been implemented, but not in sow models. Furthermore, there are methodological improvements like multi-level hierarchical Markov processes with decisions on multiple time scales, efficient methods for parameter estimations at herd level and standard software that has been hardly implemented at all in any replacement model. The aim of this study is to present a sow replacement model that really uses all these methodological improvements. In this paper, the biological model describing the performance and feed intake of sows is presented. In particular, estimation of herd specific parameters is emphasized. The optimization model is described in a subsequent paper

KW - Former Faculty of Life Sciences

U2 - 10.1016/j.livprodsci.2003.07.004

DO - 10.1016/j.livprodsci.2003.07.004

M3 - Journal article

VL - 87

SP - 13

EP - 24

JO - Livestock Science

JF - Livestock Science

SN - 1871-1413

IS - 1

ER -

ID: 11482209