Sentences with phrase «risking typing errors»

Not exact matches

In statistical terms, we can reduce our «Type II errors» (being hedged in a rising market) only by increasing our «Type I errors» (being exposed to market risk in a falling market).
In addition to the standard types of coverage like general liability insurance or property insurance, the operational risks that tech companies face trigger insurance needs that are solved by more nuanced lines of coverage like technology errors and omissions insurance and cyber liability insurance.
All sorts of hilarious errors — using one type of data (ICD10 code data from «white healthy women» and essentially comparing the best possible data from one set of hospital data related to low - risk births to the worst possible single set of data related to high - risk at - home births)-- if you use the writer's same data source for hospital births but include all comers in 2007 - 2010 (not just low - risk healthy white women), the infant death rate is actually 6.14 per 1000, which is «300 % higher death rate than at - home births!»
As the number of observations increases, so does the risk of false positives (type I errors).
We account for the dependence structure of the dyadic data (i.e., the fact that each fMRI subject is involved in multiple dyads), which would otherwise underestimate the standard errors and increase the risk of type 1 error20, by clustering simultaneously on both members of each dyad21, 22.
MZ twin pairs discordant for T2D are rare, and our relatively small sample size increases the risk of type II errors.
To the first point: are the errors of the innocuous, ever - present type found in a large lender's portfolio, or egregious underwriting errors knowingly committed to increase production while offsetting risk through the FHA program?
A common and serious error in the «assumption of risk by breed» is the inability to identify individual dogs by breed, according to an established breed standard or breed type.
I think Judy Curry has done some work on this, perhaps on the high - order risk of Type 1 error it implies.
Basically when we reject the null hypothesis we risk what is called a type 1 error.
Review and consider the types of errors that occur in the real estate area, and set aside time to integrate the various risk management strategies outlined above into your practice.
Errors and omissions insurance policies vary from company to company, and are written to reflect inherent risks and common exposures particular to different types of businesses.
Authors suggest treating significant results in secondary outcomes with caution because of the risk of type I errors from multiple significance testing.
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