Search Results - subject:"Mean square error"

Multiple Auxiliary Variables in Nonresponse Adjustment

Kreuter, Frauke; Olson, Kristen - In: Sociological Methods & Research 40 (2011) 2, pp. 311-332

survey participation and the survey variables. The results show that bias and mean square error of adjusted respondent means …

Persistent link: https://www.econbiz.de/10009294317

Local linear regression for functional data

Berlinet, A.; Elamine, A.; Mas, A. - In: Annals of the Institute of Statistical Mathematics 63 (2011) 5, pp. 1047-1075

Persistent link: https://www.econbiz.de/10009325287

Estimation of population variance in successive sampling

Singh, Housila; Tailor, Ritesh; Singh, Sarjinder; Kim, … - In: Quality & Quantity: International Journal of Methodology 45 (2011) 3, pp. 477-494

Persistent link: https://www.econbiz.de/10009396305

Preliminary test Liu estimators based on the conflicting W, LR and LM tests in a regression model with multivariate Student-t error

Yang, Hu; Xu, Jianwen - In: Metrika 73 (2011) 3, pp. 275-292

Persistent link: https://www.econbiz.de/10008925322

Mean square error comparison among variance estimators with known coefficient of variation

Laheetharan, A.; Wijekoon, P. - In: Statistical Papers 52 (2011) 1, pp. 171-201

Persistent link: https://www.econbiz.de/10008925499

Nonparametric Inference Based on Sampled Minima

Ahmad, Ibrahim A. - In: Annals of Economics and Finance 3 (2002) 2, pp. 453-469

A sampling plan that may find applications in economics, biomedical research, reliability and life testing consists of putting kn units on test in groups of k each and observing the minimum value of each group. Thus, the observations are sampled minima and they are to be used to do inference...

Persistent link: https://www.econbiz.de/10009144911

An Addendum to the Estimators of Murthy–Sarma and Anis–Pandey of the Mean of the Normal Distribution

Singh, Housila P.; Sayyed, Mujahida - In: Stochastics and Quality Control 25 (2010) 1, pp. 97-107

Abstract Anis and Pandey [Economic Quality Control 18: 83–90, 2003] have pointed out that the bias and mean squared error expressions of the estimators of the mean μ of a normally distributed random variable envisaged by Murthy and Sarma [Assam Statistical Review 12: 1–5, 1998] for small...

Persistent link: https://www.econbiz.de/10014590898

Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree

Singh, Krishna; Pal, Mahesh; Singh, V. - In: Water Resources Management 24 (2010) 10, pp. 2007-2019

This paper explored the potential of Backpropagation Neural Network (BNN) and M5 model tree based regression approach to estimate the mean annual flood. Data used in this study were taken from an earlier study by Swamee et al. (J Water Resour Plan Manage 121:403–407, <CitationRef CitationID="CR23">1995</CitationRef>) for 93 Indian...</citationref>

Persistent link: https://www.econbiz.de/10010998241

A highly efficient L-estimator for the location parameter of the Cauchy distribution

Zhang, Jin - In: Computational Statistics 25 (2010) 1, pp. 97-105

Persistent link: https://www.econbiz.de/10008596092

Optimal prediction designs in finite discrete spectrum linear regression models

Harman, Radoslav; Štulajter, František - In: Metrika 72 (2010) 2, pp. 281-294

Persistent link: https://www.econbiz.de/10008673990