scholarly journals Survival analysis and maintenance policies for a series system, with highly censored data

2002 ◽  
Author(s):  
D.M. Reineke ◽  
E.A. Pohl ◽  
W.P. Murdock
Keyword(s):  
Survival Analysis ◽  
Censored Data ◽  
Series System ◽  
Maintenance Policies

Reasons and timing of cows leaving herd in dairy cows using survival analysis methodology

2007 ◽  
Vol 2007 ◽  
pp. 150-150
Author(s):  
A. Heravi Moussavi ◽  
M. Danesh Mesgaran ◽  
E. Dirandeh ◽  
A. Pirzadeh Naeini ◽  
R. Noorbakhsh
Keyword(s):  
Survival Analysis ◽  
Dairy Cows ◽  
Censored Data ◽  
Reproductive Performance ◽  
Dairy Farm ◽  
Stage Of Lactation ◽  
Analysis Methodology ◽  
Farm Profit ◽  
Health Disorders ◽  
Time Dependent Covariates

Cow longevity is highly related to dairy farm profit. Cows are culled for a variety of reasons. The predominant reasons for culling are reproduction (i.e., failure to conceive), health, and low production (Bascom and Young, 1998). Half of the herd removals occur involuntarily and prematurely because of health disorders (Beaudeau et al., 2000). The decision to cull is a complex one. Farmers may consider many individual (such as age, stage of lactation, milk production, health status, and reproductive performance) and economic (such as milk price, the price of culled cows, and the price and availability of replacement heifers) factors when deciding to cull a cow. On the other hand, the risk of culling is not consistent across all stages of lactation. Cows experience the highest risk shortly after calving (Fetrow et al., 2006). Survival analysis allows for a more appropriate management of censored data and time-dependent covariates. Analyses of the reason and timing of culling is needed to predict herd performance. The objective of this study was to study the reasons and timing of cows leaving herd in two large Holstein dairy farms in Iran.

scholarly journals Application of the Exponentiated Log-Logistic Weibull Distribution to Censored Data

2019 ◽  
pp. 12-19
Author(s):  
Adeniyi F. Fagbamigbe ◽  
Gomolemo K. Basele ◽  
Boikanyo Makubate ◽  
Broderick O. Oluyede
Keyword(s):  
Survival Analysis ◽  
Censored Data ◽  
Life Time ◽  
Parametric Model ◽  
Exponential Distributions ◽  
Wide Range ◽  
Competitive Model ◽  
Income Data ◽  
Censored Observations ◽  
Better Than

In a recent paper, a new model called the Exponentiated Log-Logistic Weibull (ELLoGW) distribution with applications to reliability, survival analysis and income data was proposed. In this study, we applied the recently developed ELLoGW model to a wide range of censored data. We found that the ELLoGW distribution is a very competitive model for describing censored observations in life-time reliability problems such as survival analysis. This work shows that in certain cases, the ELLoGW distribution performs better than other parametric model such as the Log-Logistic Weibull, Exponentiated Log-Logistic Exponential, Log-Logistic Exponential distributions and the non-nested Gamma-Dagum (GD).

Survival analysis for censored data

1991 ◽  
pp. 223-244
Author(s):  
Tadeusz Bromek ◽  
Elżbieta Pleszczyńska
Keyword(s):  
Survival Analysis ◽  
Censored Data

Survival Analysis For Left Censored Data

1992 ◽  
pp. 269-288 ◽  
Author(s):  
Guadalupe Gomez ◽  
Olga Julià ◽  
Frederic Utzet ◽  
Melvin L. Moeschberger
Keyword(s):  
Survival Analysis ◽  
Censored Data
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