Table 14 Coefficients and MSEs of Estimators for the Australian Institute of Sports Data.

Estimates	Parameters	\(\beta _0\)	\(\beta _1\)	\(\beta _2\)	\(\beta _3\)	\(\beta _4\)	\(\beta _5\)	\(\beta _6\)	\(\beta _7\)	\(\beta _8\)	\(\beta _9\)	\(\beta _{10}\)	MSE
PIGMLE	–	8.4170	0.0652	− 0.0352	− 0.0224	− 0.0534	0.0115	0.0224	0.0164	− 0.0392	0.1340	− 0.0269	103.5890
PIGRRE	\(\hat{k}_1\)	5.9212	0.0651	− 0.0213	− 0.0395	0.0022	0.0113	0.0239	0.0163	− 0.0394	0.1337	− 0.0266	57.6193
	\(\hat{k}_2\)	3.4255	0.0650	− 0.0074	− 0.0566	0.0579	0.0111	0.0254	0.0161	− 0.0395	0.1334	− 0.0263	42.2953
	\(\hat{k}_3\)	3.4269	0.0650	− 0.0074	− 0.0566	0.0578	0.0111	0.0254	0.0161	− 0.0395	0.1334	− 0.0263	42.2953
	\(\hat{k}_4\)	0.0040	0.0309	0.0120	− 0.0462	0.1160	0.0086	0.0033	0.0130	0.0014	0.0434	− 0.0367	70.8322
	\(\hat{k}_5\)	9.53e−05	0.0055	0.0157	0.0058	0.0021	0.0032	0.0005	0.0007	0.0042	0.0015	0.0006	70.8747
PIGGRE	\(\hat{K}_1\)	0.0006	0.0007	0.0053	0.0029	7.6e−06	0.0055	0.0083	0.0031	0.0640	0.0053	− 0.0174	42.0372
	\(\hat{K}_2\)	0.0020	0.0020	0.0079	− 0.0005	2.97e−05	0.0077	0.0031	0.0075	0.0529	0.0177	− 0.0296	59.7067
	\(\hat{K}_3\)	0.0068	0.0066	0.0091	− 0.0057	0.0001	0.0086	− 0.0078	0.0125	0.0365	0.0563	− 0.0314	86.2329
	\(\hat{K}_4\)	0.0008	0.0008	0.0060	0.0021	1.02e−05	0.0061	0.0075	0.0039	0.0618	0.0068	− 0.0208	42.9759
	\(\hat{K}_5\)	0.0078	0.0200	0.0090	− 0.0183	0.0065	0.0090	0.0008	0.0130	0.0329	0.0529	− 0.0257	67.0565

Quick links

Search