CSI Market Data (Commodity Systems Inc.) Parametric statistics. Parametric statistics is a branch of statistics which assumes that the data has come from a type of probability distribution and makes inferences about the parameters of the distribution.[1] Most well-known elementary statistical methods are parametric.[2] Generally speaking parametric methods make more assumptions than non-parametric methods.[3] If those extra assumptions are correct, parametric methods can produce more accurate and precise estimates.
They are said to have more statistical power. However, if assumptions are incorrect, parametric methods can be very misleading. For that reason they are often not considered robust. On the other hand, parametric formulae are often simpler to write down and faster to compute. In some, but definitely not all cases, their simplicity makes up for their non-robustness, especially if care is taken to examine diagnostic statistics.[4] Example[edit] A non-parametric estimate of the same thing is the maximum of the first 99 scores. History[edit] Threading in C# - Part 2 - Basic Synchronization. Threading in C# Joseph Albahari Last updated: 2011-4-27 Translations: Chinese | Czech | Persian | Russian | Japanese Download PDF Part 2: Basic Synchronization So far, we’ve described how to start a task on a thread, configure a thread, and pass data in both directions.
The next step is synchronization: coordinating the actions of threads for a predictable outcome. Synchronization constructs can be divided into four categories: Simple blocking methods These wait for another thread to finish or for a period of time to elapse. Locking constructs These limit the number of threads that can perform some activity or execute a section of code at a time. Signaling constructs These allow a thread to pause until receiving a notification from another, avoiding the need for inefficient polling.
Nonblocking synchronization constructs These protect access to a common field by calling upon processor primitives. Blocking is essential to all but the last category. Blocking More than the coolest LINQ tool or: