Andere Kunden interessierten sich auch für
![Statistical Analysis with Measurement Error or Misclassification]( "Statistical Analysis with Measurement Error or Misclassification")
Statistical Analysis with Measurement Error or Misclassification110,99 €![Processing of the numerical data]( "Processing of the numerical data")
Processing of the numerical data44,99 €![Numerical efficiency calibration of in vivo measurement systems : Monte Carlo simulations of in vivo measurement scenarios for the detection of incorporated radionuclides, including validation, analysis of efficiency-sensitive parameters and customiz]( "Numerical efficiency calibration of in vivo measurement systems : Monte Carlo simulations of in vivo measurement scenarios for the detection of incorporated radionuclides, including validation, analysis of efficiency-sensitive parameters and customiz")
Numerical efficiency calibration of in vivo measurement systems : Monte Carlo simulations of in vivo measurement scenarios for the detection of incorporated radionuclides, including validation, analysis of efficiency-sensitive parameters and customiz36,50 €![Estimating Parameters of the Three-Parameter Lognormal Distribution]( "Estimating Parameters of the Three-Parameter Lognormal Distribution")
Estimating Parameters of the Three-Parameter Lognormal Distribution32,99 €![On the Estimation of Fertility Parameters using Sample Surveys]( "On the Estimation of Fertility Parameters using Sample Surveys")
On the Estimation of Fertility Parameters using Sample Surveys36,99 €![Bayesian Estimation for the Parameters of the WEM Based on GOS]( "Bayesian Estimation for the Parameters of the WEM Based on GOS")
Bayesian Estimation for the Parameters of the WEM Based on GOS36,99 €![Measurement Error in Nonlinear Models]( "Measurement Error in Nonlinear Models")
Measurement Error in Nonlinear Models178,99 €
This book deals with Estimation of finite population parameters under super population model when variates are subject to measurement error.Following Royall (1970, 71), and Royall and Herson (1973a, 1973b) approach, estimators of the finite population total under error-in-variables super population model have been developed. This has been extended in stratified sampling under error-in-variable super population model where slopes (regression coefficient) are varying from stratum to stratum and when slope across the strata is same and response variable is subject to measurement error.A limited simulation study has been carried out with Synthetic data generated under the models to examine the effect of measurement error on the precision of the estimate.The overall results show that % R.I. in standard error of the estimator can be reduced to a considerable extent if stratified sampling is resorted to Neyman allocation. It has been found that % R.I. in standard error increases with increase in the value. There would be no % R.I. in standard error.