sample mean
Robust time of arrival source localization employing error covariance of sample mean and sample median in line of sight/non line of sight mixture environments
... the sample mean and sample median were ...the sample mean was used when the sensor was identified as the LOS sensor, while the WSE loss function based on the sample median was ...
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Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range
... the sample size, mean, and standard deviation are required from included ...the sample mean and standard deviation of the trials, some trial studies only report the median, the minimum and ...
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Optimum Block Size in Separate Block Bootstrap to Estimate the Variance of Sample Mean for Lattice Data
... nonparametric plug-in estimate has been presented. Also in a Monte Carlo simulation study on spatial data, the theoretical and asymptotic results have been evaluated. The optimum block size can be specified for kriging ...
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On Conditional Distribution of the Sample Mean for Densities with Singular Logarithmic Derivative
... A more challenging problem concerns the validity of (RCM) for more general probability measures with H¨older continuous PDF. The author’s discussions with a number of experts in probability and functional analysis seem ...
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Testing Validity of Using Sample Mean in Studies of Behavioral Facts
... The common use of average is like this: conduct the experiment to the subjects, have their responses docu- mented, average the answers and analyze the average answer as a supposed individual who represents the whole ...
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The Uncertainty Reduction for the Refined Sample Mean of Combined Quantities
... small sample size are often taken when the available data is not large ...for mean value estimation of a quasi-normal distribution is ...QMLE mean estimator outperforms the conventional sample ...
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Optimized Regularity Estimates of Conditional Distribution of the Sample Mean
... the sample mean of the ”sample fluctua- tions”, has a direct analog for a much larger class of marginal probability ...the sample mean (given the sigma-algebra generated by all ...
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Computation of Sample Mean Range of the Generalized Laplace Distribution
... The sample range, the symmetric quasi-ranges, and the spacings and their linear combinations have many theoretical uses and applications in statistical ...the sample range and quasi-ranges, in particular, ...
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A Two-Parameter Ratio-Product-Ratio Type Exponential Estimator for Finite Population Mean in Sample Surveys
... population mean in simple random sampling without replacement (SRSWOR) following the methodology in the studies of Singh and Espejo (2003) and Chami et al ...and mean squared error of the suggested ...
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An improved estimation of parameters of Morgenstern type bivariate logistic distribution using ranked set sampling
... The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of improving the precision of the sample mean as an estimator of the population mean. Ranked set sampling ...
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Estimating the mean and variance from the median, range, and the size of a sample
... population mean from which we drew samples is ...pooled sample mean differ- ence between two samples (one was control, the other experimental group) was ...each sample, and per- formed the ...
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Gidaje: The socio-cultural morphology of Hausa living spaces
... across the sample, the mean total area of each of the main functional spaces across the sectors not. only varies little, but also shows close affinity to the respective sample mean[r] ...
450
SOME SYSTEMATIC SAMPLING STRATEGIES USING MULTIPLE RANDOM STARTS
... perform with the same efficiency when g 0 for all choices of the number of random starts, their performance cannot be mathematically studied in view of their complex nature for other cases of g . Hence a numerical ...
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A GENERALIZED CLASS OF PREDICTIVE ESTIMATORS OF FINITE POPULATION MEAN IN SAMPLE SURVEYS
... scale sample surveys it is a usual practice to search for auxiliary information to help improving the efficiency of estimates based on only study ...in sample surveys dates back to Cochran (1940) who used ...
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AN APPROACH OF BONE LOSS ESTIMATION THROUGH DIGITAL RADIOGRAPHY
... The estimation of osteoporosis is dependent on three basic parameters. These are the mean of large data sample, mean of the samples of region of interest (ROI) and standard deviation of the samples ...
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Investigating the accuracy of the mass of locally packed daily consumption goods
... the sample size is 29, the sample mean values is ...the sample standard deviation is 10.26232, the standard error of the mean is ...the sample passes the “average ...
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The Warped One: Nationalist Adaptations of the Cuchulain Myth
... Since first introduced by Dorfman in 1943, pooled testing has been widely used as a cost and time effective testing protocol in the variety of applications. This dis- sertation consists of three projects that reveal the ...
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Do Board Characteristics Impact the Market Performance of Indian Banks?
... The coefficient for average number of boards served was 0.1636 ,indicating that the Q Ratio increases by 0.17 times for every unit increase in the average number of boards served by the board directors of the ...
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Introductory Statistics
... Sampling may be done not only to estimate a population parameter, but to test a claim that is made about that parameter. Suppose a food package asserts that the amount of sugar in one serving of the product is 14 grams. ...
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CAS: Yep, We're Skewed
... small sample size, I simulated random values from a lognormal distribution with a mean 1,000 and varying degrees of ...the sample averages of various sizes are shown in Figure 2 for lognormal ...
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