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  2. Tukey's test of additivity - Wikipedia

    en.wikipedia.org/wiki/Tukey's_test_of_additivity

    In statistics, Tukey's test of additivity, [1] named for John Tukey, is an approach used in two-way ANOVA (regression analysis involving two qualitative factors) to assess whether the factor variables (categorical variables) are additively related to the expected value of the response variable. It can be applied when there are no replicated ...

  3. Multiple comparisons problem - Wikipedia

    en.wikipedia.org/wiki/Multiple_comparisons_problem

    Over the ensuing decades, many procedures were developed to address the problem. In 1996, the first international conference on multiple comparison procedures took place in Tel Aviv. [3] This is an active research area with work being done by, for example Emmanuel Candès and Vladimir Vovk.

  4. Central composite design - Wikipedia

    en.wikipedia.org/wiki/Central_composite_design

    In statistics, a central composite design is an experimental design, useful in response surface methodology, for building a second order (quadratic) model for the response variable without needing to use a complete three-level factorial experiment.

  5. Replication (statistics) - Wikipedia

    en.wikipedia.org/wiki/Replication_(statistics)

    Example of direct replication and conceptual replication. There are two main types of replication in statistics. First, there is a type called “exact replication” (also called "direct replication"), which involves repeating the study as closely as possible to the original to see whether the original results can be precisely reproduced. [3]

  6. Jay-Z, Diddy accusations create mystery surrounding female ...

    www.aol.com/jay-z-diddy-accusations-create...

    Questions surrounding the identity of "Celebrity B" remain after Jay-Z was recently named in a Sean "Diddy" Combs sexual assault lawsuit.. Initially, the lawsuit stated Diddy raped the minor while ...

  7. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    The block bootstrap is used when the data, or the errors in a model, are correlated. In this case, a simple case or residual resampling will fail, as it is not able to replicate the correlation in the data. The block bootstrap tries to replicate the correlation by resampling inside blocks of data (see Blocking (statistics)). The block bootstrap ...

  8. This is why you should give your dog choices when training ...

    www.aol.com/why-dog-choices-training-them...

    Pupford Beef Liver Training Freeze-Dried Dog Treats We gave these to our tester Isaiah for his dog Hayes to try. He reports back that they're his new favorite treat and are a suitable size for ...

  9. List of undecidable problems - Wikipedia

    en.wikipedia.org/wiki/List_of_undecidable_problems

    Rule 110 - most questions involving "can property X appear later" are undecidable. The problem of determining whether a quantum mechanical system has a spectral gap. [8] [9] Finding the capacity of an information-stable finite state machine channel. [10] In network coding, determining whether a network is solvable. [11] [12]