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Syntactic bootstrapping is a theory in developmental psycholinguistics and language acquisition which proposes that children learn word meanings by recognizing syntactic categories (such as nouns, adjectives, etc.) and the structure of their language.
LBOs have become attractive as they usually represent a win–win situation for the financial sponsor and the banks: the financial sponsor can increase the rate of returns on its equity by employing the leverage; banks can make substantially higher margins when supporting the financing of LBOs as compared to usual corporate lending, because the interest chargeable is that much higher.
The arithmetic mean (or simply mean or average) of a list of numbers, is the sum of all of the numbers divided by their count.Similarly, the mean of a sample ,, …,, usually denoted by ¯, is the sum of the sampled values divided by the number of items in the sample.
Bootstrap – when device contacts the server for the first time, the server URL changed, or the device settings were reset to default; Periodic – the device is scheduled to perform a periodic session, as per the PeriodicInformInterval settings; Connection request – the device responds to the server's request for a connection;
The bootstrap, resampling with replacement (sample x items randomly out of a sample of size x, but items can be picked multiple times), is only used on characters, because adding duplicate taxa does not change the result of a parsimony analysis.
Each row of points is a sample from the same normal distribution. The colored lines are 50% confidence intervals for the mean, μ. At the center of each interval is the sample mean, marked with a diamond. The blue intervals contain the population mean, and the red ones do not.
The symbols ± and ∓ are used in chess annotation to denote a moderate but significant advantage for White and Black, respectively. [4] Weaker and stronger advantages are denoted by ⩲ and ⩱ for only a slight advantage, and +– and –+ for a strong, potentially winning advantage, again for White and Black respectively.