Using Estimated On-Site Ambient Temperature Has Uncertain Benefit When Estimating Postmortem Interval

Table 3

Summation of the difference between $T_d$ and others temperatures (${}_{}{}^{°}\text{C}$) data for 25 days.

Spot	$D=0$	Linear regression curve equation; $R^2$	$\sum (T_d-T_{\text{ws}})$	$\sum (T_d-T_{{\text{est}}_5})$	$\sum (T_d-T_{{\text{est}}_{10}})$	$\sum (T_d-T_{{\text{est}}_{15}})$
S1	28/10/2002	$C_5\text{:}$$y$ = 1.0172$x\hspace{0.17em}\hspace{0.17em}-$ 0.4713; $R^2=0.9068$	$-$16.16	$-$9.87	$-$14.28	4.67
		$C_{10}\text{:}$$y$ = 1.0682$x\hspace{0.17em}\hspace{0.17em}-$ 0.9465; $R^2=0.9149$
		$C_{15}\text{:}$$y$ = 0.841$x$ + 1.199; $R^2=0.8468$
S2 A	07/06/2004	$C_5\text{:}$$y$ = 0.6941$x$ + 5.3294; $R²=0.5810$	34.60	17.82	45.63	50.12
		$C_{10}\text{:}$$y$ = 0.8332$x$ + 2.0987; $R^2=0.9067$
		$C_{15}\text{:}$$y$ = 0.8773$x$ + 1.2475; $R^2=0.9375$
S2 B	22/10/2004	$C_5\text{:}$$y$ = 0.9038$x$ + 0.0263; $R^2=0.9165$	11.70	41.92	35.11	36.20
		$C_{10}\text{:}$$y$ = 0.7369$x$ + 2.4418; $R^2$ = 0.8691
		$C_{15}\text{:}$$y$ = 07373$x$ + 2.3932; $R^2$ = 0.897
S2 C	29/03/2005	$C_5\text{:}$$y$ = 0.8418$x$ +1.8087; $R^2$ = 0.3797	$-$5.45	$-$19.95	$-$22.18	15.84
		$C_{10}\text{:}$$y$ = 0.7554$x$ + 2.5692; $R^2$ = 0.2638
		$C_{15}\text{:}$$y$ = 1,2407$x\hspace{0.17em}\hspace{0.17em}-$ 2.7212; $R^2$ = 0.7564
S3	28/10/2002	$C_5\text{:}$$y$ = 0,9831$x$ + 0,6616; $R^2$ = 0,9404	$-$14.23	$-$25.12	$-$21.60	$-$17.16
		$C_{10}\text{:}$$y$ = 1,0683$x\hspace{0.17em}\hspace{0.17em}-$ 0,6191; $R^2$ = 0,9524
		$C_{15}\text{:}$$y$ = 0,9848$x$ + 0,3204; $R^2$ = 0,9186
S4	28/10/2002	$C_5\text{:}$$y$ = 1,0923$x\hspace{0.17em}\hspace{0.17em}-$ 0,8681; $R^2$ = 0,94	$-$6.37	$-$15.53	$-$10.30	$-$7.25
		$C_{10}\text{:}$$y$ = 1,1116$x\hspace{0.17em}\hspace{0.17em}-$ 1,3356; $R^2$ = 0,9492
		$C_{15}\text{:}$$y$ = 1,0227$x\hspace{0.17em}\hspace{0.17em}-$ 0,2685; $R^2$ = 0,9163
S5	10/05/2004	$C_5\text{:}$$y$ = 1,3852$x\hspace{0.17em}\hspace{0.17em}-$ 4,35; $R^2$ = 0,9665	$-$1.88	1.69	28.47	$-$6.49
		$C_{10}\text{:}$$y$ = 0,954$x$ + 0,7115; $R^2$ = 0,9915
		$C_{15}\text{:}$$y$ = 0,9438$x$ + 0,7984; $R^2$ = 0,9894
S6 A	15/05/2004	$C_5\text{:}$$y$ = 1,0567$x\hspace{0.17em}\hspace{0.17em}-$ 2,7928; $R^2$ = 0,9894	30.81	83.96	110.98	94.97
		$C_{10}\text{:}$$y$ = 1,1332$x\hspace{0.17em}\hspace{0.17em}-$ 4,7736; $R^2$ = 0,9679
		$C_{15}\text{:}$$y$ = 1,078$x\hspace{0.17em}\hspace{0.17em}-$ 3,4839; $R^2$ = 0,9486
S6 B	16/08/2004	$C_5\text{:}$$y$ = 0,6028$x$ + 6,8452; $R^2$ = 0,3515	55.22	97.83	123.89	125.42
		$C_{10}\text{:}$$y$ = $-$0,0693$x$ + 20,269; $R^2$ = 0,0029
		$C_{15}\text{:}$$y$ = $-$0,3659$x$ + 26,592; $R^2$ = 0,1363
S7 A	22/09/2005	$C_5\text{:}$$y$ = 1,1488$x\hspace{0.17em}\hspace{0.17em}-$ 3,8955; $R^2$ = 0,9189	40.27	69.81	71.17	65.54
		$C_{10}\text{:}$$y$ = 1,0032$x\hspace{0.17em}\hspace{0.17em}-$ 1,2942; $R^2$ = 0,8203
		$C_{15}\text{:}$$y$ = 1,1275$x\hspace{0.17em}\hspace{0.17em}-$ 3,3363; $R^2$ = 0,9275
S7 B	22/04/2006	$C_5\text{:}$$y$ = 0,5683$x$ + 5,9323; $R^2$ = 0,8663	16.13	$-$21.37	32.49	36.85
		$C_{10}\text{:}$$y$ = 0,9635$x\hspace{0.17em}\hspace{0.17em}-$ 0,28; $R^2$ = 0,925
		$C_{15}\text{:}$$y$ = 1,0345$x\hspace{0.17em}\hspace{0.17em}-$ 1,1833; $R^2$ = 0,9594
S7 C	03/07/2006	$C_5\text{:}$$y$ = 0,699$x$ + 5,2275; $R^2$ = 0,9899	36.29	66.15	61.57	62.03
		$C_{10}\text{:}$$y$ = 0,8556$x$ + 2,0696; $R^2$ = 0,9413
		$C_{15}\text{:}$$y$ = 0,9345$x$ + 0,368; $R^2$ = 0,9654