Confidence Intervals for lk,p,... Distances

Love, Robert F.; Walker, John H.; Tiku, Moti L.
February 1995
Transportation Science;Feb95, Vol. 29 Issue 1, p93
Academic Journal
Distance predicting functions have a number of uses when objects in space can be represented as points. When a predicted distance between two points is determined by a distance predicting function, the unknown distance between the points may be overestimated or underestimated due to the statistical nature of distance predicting functions. Since an analyst may desire a measure of the accuracy of the predicted distance, we have developed a procedure for calculating confidence intervals for unknown distances. The procedure utilizes information that is provided by the sample Pearson coefficients.


Related Articles

  • Maximum Likelihood Estimates and Confidence Intervals of an M/M/R Queue with Heterogeneous Servers. Tsung-Yin Wang; Jau-Chuan Ke; Kuo-Hsiung Wang; Siu-Chuen Ho // Mathematical Methods of Operations Research;2006, Vol. 63 Issue 2, p371 

    This paper studies maximum likelihood estimates as well as confidence intervals of an M/M/R queue with heterogeneous servers under steady-state conditions. We derive the maximum likelihood estimates of the mean arrival rate and the three unequal mean service rates for an M/M/3 queue with...

  • Confidence Intervals for Steady-State Simulations: I. A Survey of Fixed Sample Size Procedures. Law, Averill M.; Kelton, W. David // Operations Research;Nov/Dec84, Vol. 32 Issue 6, p1221 

    We consider the problem of constructing a confidence interval for the steady-state mean of a stochastic process by means of simulation, and study the five main methods which have been proposed (replication, batch means, autoregressive representation, spectrum analysis, and regeneration cycles)...

  • Small area estimation: the EBLUP estimator based on spatially correlated random area effects. Pratesi, Monica; Salvati, Nicola // Statistical Methods & Applications;2008, Vol. 17 Issue 1, p113 

    This paper deals with small area indirect estimators under area level random effect models when only area level data are available and the random effects are correlated. The performance of the Spatial Empirical Best Linear Unbiased Predictor (SEBLUP) is explored with a Monte Carlo simulation...

  • Optimal sample sizes for precise interval estimation of Welch's procedure under various allocation and cost considerations. Shieh, Gwowen; Jan, Show-Li // Behavior Research Methods;Mar2012, Vol. 44 Issue 1, p202 

    Welch's ( Biometrika 29: 350-362, ) procedure has emerged as a robust alternative to the Student's t test for comparing the means of two normal populations with unknown and possibly unequal variances. To facilitate the advocated statistical practice of confidence intervals and further improve...

  • Confidence interval calculation for a sequential clinical trial of binary responses. TODD, SUSAN; WHITEHEAD, JOHN // Biometrika;1997, Vol. 84 Issue 3, p737 

    Consider a sequential test applied to two streams of binary responses in a comparative clinical trial. After the completion of such a trial Woodroofe's (1992) technique for accurate confidence interval estimation for a treatment difference can be applied. In this paper the technique is extended...

  • Parameter and quantile estimation of the 2-parameter kappa distribution by maximum likelihood. Aucoin, Fran├žois; Ashkar, Fahim; Bayentin, Lampouguin // Stochastic Environmental Research & Risk Assessment;Dec2012, Vol. 26 Issue 8, p1025 

    Asymptotic properties of maximum likelihood parameter and quantile estimators of the 2-parameter kappa distribution are studied. Eight methods for obtaining large sample confidence intervals for the shape parameter and for quantiles of this distribution are proposed and compared by using Monte...

  • Estimation of Generalized Pareto under an Adaptive Type-II Progressive Censoring. Mahmoud, Mohamed A. W.; Soliman, Ahmed A.; Abd Ellah, Ahmed H.; El-Sagheer, Rashad M. // Intelligent Information Management;May2013, Vol. 5 Issue 3, p73 

    In this paper, based on a new type of censoring scheme called an adaptive Type-II progressive censoring scheme introduce by Ng, et al. [1], Naval Research Logistics is considered. Based on this type of censoring the maximum likelihood estimation (MLE), Bayes estimation, and parametric bootstrap...

  • Alpha's Standard Error (ASE): An Accurate and Precise Confidence Interval Estimate. Duhachek, Adam; Iacobucci, Dawn // Journal of Applied Psychology;Oct2004, Vol. 89 Issue 5, p792 

    This research presents the inferential statistics for Cronbach' s coefficient alpha on the basis of the standard statistical assumption of multivariate normality. The estimation of alpha's standard error (ASE) and confidence intervals are described, and the authors analytically and empirically...

  • Tapered empirical likelihood for time series data in time and frequency domains.  // Biometrika;Mar2009, Vol. 96 Issue 1, p119 

    We investigate data tapering in two formulations of empirical likelihood for time series. One empirical likelihood is formed from tapered data blocks in the time domain and a second is based on the tapered periodogram in the frequency domain. Limiting distributions are provided for both...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics