Search results
Results from the WOW.Com Content Network
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;
Because of these problems, methodologists routinely advise researchers to design studies to minimize the occurrence of missing values. [2] Graphical models can be used to describe the missing data mechanism in detail. [3] [4] The graph shows the probability distributions of the estimations of the expected intensity of depression in the population.
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.
Exploring a forking decision-tree while analyzing data was at one point grouped with the multiple comparisons problem as an example of poor statistical method. However Gelman and Loken demonstrated [2] that this can happen implicitly by researchers aware of best practices who only make a single comparison and only evaluate their data once.
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 ...
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 ...
[21] [22] The need for data cleaning will arise from problems in the way that the datum are entered and stored. [21] Data cleaning is the process of preventing and correcting these errors. Common tasks include record matching, identifying inaccuracy of data, overall quality of existing data, deduplication, and column segmentation. [ 23 ]