Figure out how long you will live with these rules of thumb. The post Rules of thumb to predict how long you will live appeared first on Decision Science News.

The best way to learn is at your own pace. Combining the interactive R learning environment of DataCamp and the expertise of Prof. Conway of Princeton, we offer you an extensive online course on introductory statistics with R. Start learning now… Whether you are a professional using statistics in your job, an academic wanting a

The SIR model divides the population to three compartments: Susceptible, Infected and Recovered. If the disease dynamic fits the SIR model, then the flow of individuals is one direction from the susceptible group to infected group and then to the recovered group. All individuals are assumed to be identical in terms of their susceptibility to infection, infectiousness if infected...

This is part two of a three-part blog series on building a DGA classifier and it is split into the three phases of building a classifier: 1) Data preparation 2) Feature engineering and 3) Model selection (this post) Back in part 1, we prepared the data and we are starting with a nice clean list of domains labeled as either legitimate (“legit”) or generated by an algorithm (“dga”)....

I’ve received a few emails about including regression variables (i.e., covariates) in TBATS models. As TBATS models are related to ETS models, tbats() is unlikely to ever include covariates as explained here. It won’t actually complain if you include an xreg argument, but it will ignore it. When I want to include covariates in a

This is part two of a three-part blog series on building a DGA classifier and it is split into the three phases of building a classifier: 1) Data preperation 2) Feature engineering and 3) Model selection. Back in part 1, we prepared the data and we are starting with a nice clean list of domains labeled as either legitamate (“legit”) or generated by...

The following post by Norm Matloff originally appeared on his blog, Mad(Data)Scientist, on September 15th. We rarely republish posts that have appeared on other blogs, however, the questions that Norm raises both with respect to the teaching of statistics, and his assertion that "R's statistical procedures are centered far too much on significance testing" deserve a second look. Moreover,...

As we discuss in section 6.1.4 of the second edition, R and SAS handle categorical variables and their parameterization in models quite differently. SAS treats them on a procedure-by-procedure basis, which leads to some odd differences in capabilities and default parameterizations. For example, in the logistic procedure, the default is effect cell coding, while in the genmod...

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