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2. Distance sampling - Wikipedia

   en.wikipedia.org/wiki/Distance_sampling

   The distribution of the observed distances is used to estimate a "detection function" that describes the probability of detecting an object at a given distance. Given that various basic assumptions hold, this function allows the estimation of the average probability P of detecting an object given that is within width w of the line.

3. Sample size determination - Wikipedia

   en.wikipedia.org/wiki/Sample_size_determination

   The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

4. Shewhart individuals control chart - Wikipedia

   en.wikipedia.org/wiki/Shewhart_individuals...

   The moving ranges involved are serially correlated so runs or cycles can show up on the moving average chart that do not indicate real problems in the underlying process. [ 2 ] : 237 In some cases, it may be advisable to use the median of the moving range rather than its average, as when the calculated range data contains a few large values ...

5. Log-distance path loss model - Wikipedia

   en.wikipedia.org/wiki/Log-distance_path_loss_model

   This is based on either close-in measurements or calculated based on a free space assumption with the Friis free-space path loss model. [1] is the length of the path. is the reference distance, usually 1 km (or 1 mile) for a large cell and 1 m to 10 m for a microcell. [1]

6. Jackknife resampling - Wikipedia

   en.wikipedia.org/wiki/Jackknife_resampling

   Given a sample of size , a jackknife estimator can be built by aggregating the parameter estimates from each subsample of size () obtained by omitting one observation. [ 1 ] The jackknife technique was developed by Maurice Quenouille (1924–1973) from 1949 and refined in 1956.

7. Minimum-distance estimation - Wikipedia

   en.wikipedia.org/wiki/Minimum-distance_estimation

   Most theoretical studies of minimum-distance estimation, and most applications, make use of "distance" measures which underlie already-established goodness of fit tests: the test statistic used in one of these tests is used as the distance measure to be minimised. Below are some examples of statistical tests that have been used for minimum ...