This article offers, with accompanying rationale, simple data sets that produce distinct values of certain basic summary statistics.doi:10.1111/j.1467-9639.2009.00408.xLawrence M. LesserThe University of Texas at El Paso, USA. e-mail: lesser@utep.edu;...
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Using interpolation to reduce computing time for analysis of large but simple data sets with application to design of epidemiological studiesStatistics - ComputationOne way to investigate the precision of estimates likely to result from planned experiments and planned epidemiological studies is to simulate...
chiSquaredGoodnessOfFit(data1019, ss.poissonDistribution, 0.05); //= falseepsilon We use ε, epsilon, as a stopping criterion when we want to iterate until we're "close enough". Epsilon is a very small number: for simple statistics, that number is 0.0001...
Table 1 Summary statistics of various data sets. Full size table The percentage relative efficiency (PRE) of all estimators discussed in the literature against \(\tau_{1}\) has been used as performance index. The formula of PRE is given below $$ PRE = \frac{{Var\left( {\tau_{1} }...
Simple random sampling (SRS) is a technique in which a researcher selects a random subset of people from a larger group or population. In simple random sampling, each member of the group has an equal chance of getting selected. The method is commonly used in statistics, a br...
As it relates to statistics, heteroskedasticity (also spelledheteroscedasticity)refers to the error variance, or dependence of scattering, within a minimum of one independent variable within a particular sample. These variations can be used to calculate the margin of error between data sets, such as...
The simple random sample process calls for every unit within the population to receive an unrelated numerical value. This is often assigned based on how the data may be filtered. For example, you could assign the numbers one to 500 to the companies based onmarket cap, alphabetical order, or ...