Search Results - subject:"Mean square error"

On improvement in estimating population mean in stratified random sampling

Koyuncu, Nursel; Kadilar, Cem - In: Journal of Applied Statistics 37 (2010) 6, pp. 999-1013

this paper, we obtained a corrected version for the mean square error (MSE) of the Gupta-Shabbir estimator, up to first …

Persistent link: https://www.econbiz.de/10008674906

The costs of not knowing the radius

Rieder, Helmut; Kohl, Matthias; Ruckdeschel, Peter - 2001

, for location, scale, and linear regression models, and by evaluation of maximum asymptotic variance and mean square error …

Persistent link: https://www.econbiz.de/10010310359

Time series forecasts of international tourism demand for Australia

Lim, Christine; MacAleer, Michael - 2001

This paper examines stationary and nonstationary time series by formally testing for the presence of unit roots and seasonal unit roots prior to estimation, model selection and forecasting. Various Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models are estimated over the period...

Persistent link: https://www.econbiz.de/10010332392

The costs of not knowing the radius

Rieder, Helmut; Kohl, Matthias; Ruckdeschel, Peter - Sonderforschungsbereich 373, Quantifikation und … - 2001

, for location, scale, and linear regression models, and by evaluation of maximum asymptotic variance and mean square error …

Persistent link: https://www.econbiz.de/10010956586

Estimadores compuestos en estadística regional: aplicación para la tasa de variación de la ocupación en la industria

Costa, Àlex; Satorra, Albert; Ventura, Eva - Department of Economics and Business, Universitat … - 2001

one which is based in a statistical model and that minimizes the mean square error. …

Persistent link: https://www.econbiz.de/10005772043

Approximating long-memory DNA sequences by short-memory process

Gao, Jie; Xu, Zhen-yuan; Zhang, Li-ting - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 17, pp. 3475-3485

) process. To validate this approximation, a mean square error forecast criterion is considered, and the calculation of the mean … sequence of orf virus. This paper gives some theoretical justification on the mean square error forecast criterion based on a … square error between the observation Xt+l of an ARFIMA process and the l-step-ahead forecast of the ARMA(1, 1) process is …

Persistent link: https://www.econbiz.de/10011062750

Neighborhoods as nuisance parameters? Robustness vs. semiparametrics

Rieder, Helmut - 1999

robust statistics. This semiparametric IC is compared with the robust IC that minimizes maximum weighted mean square error of …

Persistent link: https://www.econbiz.de/10010309975

Neighborhoods as nuisance parameters? Robustness vs. semiparametrics

Rieder, Helmut - Sonderforschungsbereich 373, Quantifikation und … - 1999

robust statistics. This semiparametric IC is compared with the robust IC that minimizes maximum weighted mean square error of …

Persistent link: https://www.econbiz.de/10010956536

On improvement in estimating the population mean in simple random sampling

Gupta, Sat; Shabbir, Javid - In: Journal of Applied Statistics 35 (2008) 5, pp. 559-566

Kadilar and Cingi [Ratio estimators in simple random sampling, Appl. Math. Comput. 151 (3) (2004), pp. 893-902] introduced some ratio-type estimators of finite population mean under simple random sampling. Recently, Kadilar and Cingi [New ratio estimators using correlation coefficient, Interstat...

Persistent link: https://www.econbiz.de/10005458134

The cost of not knowing the radius

Rieder, Helmut; Kohl, Matthias; Ruckdeschel, Peter - In: Statistical Methods and Applications 17 (2008) 1, pp. 13-40

Persistent link: https://www.econbiz.de/10005596328