Summary - People.stat.sfu.ca - Simon Fraser University

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Table 2-EC-FH-mortality. <strong>Summary</strong> of AIC model selection for Fathead Minnow, mortality conducted by ECGroup Response Species Model Name#ParametersNumber datavaluesLoglikelihood AICc !AICAICcweightEC mortality FH Probit, Separate, NoNR, NoRE 6 72 -83.2 179.6 0.0 0.95EC mortality FH Probit, SeparateMono, NoNR,NoREEC mortality FH Probit, CommonLC 10 , NoNR,NoREEC mortality FH Probit, CommonLC 50 , NoNR,NoRE4 72 -88.4 185.4 5.8 0.054 72 -117.6 243.8 64.2 0.004 72 -129.1 266.8 87.2 0.00EC mortality FH Probit, Common, NoNR, NoRE 2 72 -195.4 395.0 215.4 0.00EC mortality FH Probit, CommonLC 25 , NoNR,NoRECommonLC=Common LCxx value; NoNR=no natural response; NoRE=no random effects4 72 -210.1 428.9 249.3 0.00
Table 2-EC-FH-weight. <strong>Summary</strong> of AIC model selection for Fathead Minnow growth conducted by EC.Group Response Species Model Name # Parameters Number data values Log likelihood AICc !AIC AICc weightEC weight FH LH4p.Separate 15 66 48.2 -56.8 0.0 1.00EC weight FH IR.Separate 11 66 20.7 -14.6 42.2 0.00EC weight FH LL3p.Separate 12 66 20.2 -10.5 46.3 0.00EC weight FH LL3p.Mono 6 66 2.8 7.7 64.5 0.00EC weight FH IR.Common 4 66 -37.8 84.2 141.0 0.00EC weight FH LL3p.Common 4 66 -39.9 88.5 145.3 0.00EC weight FH LH4p.Common 5 66 -39.3 89.6 146.4 0.00LH4p=4-parameter logistic hormesis models; LL3p = 3-parameter log-logistic model; IR=isotonic regression model.
Page 1 and 2: An assessment of the effect of hard
Page 3 and 4: 2. Studies used. There are two gr
Page 5 and 6: number of free parameters in the mo
Page 7 and 8: isotonicity constraint can be appli
Page 9 and 10: fewer mortalities occurred at highe
Page 11 and 12: Survival10.90.80.70.60.50.40.30.20.
Page 13 and 14: is inconsequential relative to the
Page 18 and 19: The function fit isA(1+ E • X)Y =
Page 20 and 21: In some cases, model averaged estim
Page 22 and 23: experimental studies of quantal res
Page 24 and 25: Figure 1b. The Probit, Separate, CN
Page 26: Figure 1d. The Probit, Common LC50,
Page 29 and 30: Figure 1g. The Probit, Common, CNR,
Page 31 and 32: Figure 2b. The Probit, SeparateMono
Page 33 and 34: Table 1. Summary of sampling protoc
Page 35: Table 2-EC-CH-mortality. Summary of
Page 39 and 40: Table 2-EC-HY-weight. Summary of AI
Page 42 and 43: Table EC-MY-mortality. Summary of A
Page 44 and 45: Table 2-NA-AL-cell. Summary of AIC
Page 46 and 47: Table 2-NA-DA-repro. Summary of mod
Page 48 and 49: Table 2-NA-FH-weight. Summary of AI
Page 51: Table 2-NA-TA-weight. Summary of mo
Page 54 and 55: Table 3. Summary of model averaged
Page 56 and 57: Table 3. Summary of model averaged

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