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The notable unsolved problems in statistics are generally of a different flavor; according to John Tukey, [1] "difficulties in identifying problems have delayed statistics far more than difficulties in solving problems." A list of "one or two open problems" (in fact 22 of them) was given by David Cox. [2]
List of unsolved problems in statistics; Probability. Topic outline of probability; List of probability topics. Catalog of articles in probability theory;
She reports that between the late 1950s and the 1990s, scholars were already expressing concerns about a possible crisis of replication, [51] a suspiciously high rate of positive findings, [52] questionable research practices (QRPs), [53] the effects of publication bias, [54] issues with statistical power, [55] [56] and bad standards of reporting.
Description: Extensive exposition of statistical decision theory, statistics, and decision analysis from a Bayesian standpoint. Many examples and problems come from business and economics. Importance: Greatly extended the scope of applied Bayesian statistics by using conjugate priors for exponential families. Extensive treatment of sequential ...
Many misuses of statistics occur because The source is a subject matter expert, not a statistics expert. [6] The source may incorrectly use a method or interpret a result. The source is a statistician, not a subject matter expert. [7] An expert should know when the numbers being compared describe different things.
Calibration (statistics) – the statistical calibration problem; Cancer cluster; Candlestick chart; Canonical analysis; Canonical correlation; Canopy clustering algorithm; Cantor distribution; Carpet plot; Cartogram; Case-control – redirects to Case-control study; Case-control study; Catastro of Ensenada – a census of part of Spain ...
The line between primary and secondary sources is not always clear. In general, primary sources include descriptions of an individual experiment or a series of experiments by the same research group; secondary sources include independent review articles summarizing a line of research or rectifying apparently discordant results.
The modifiable areal unit problem (MAUP) is a source of statistical bias that can significantly impact the results of statistical hypothesis tests. MAUP affects results when point-based measures of spatial phenomena are aggregated into spatial partitions or areal units (such as regions or districts ) as in, for example, population density or ...