A standard method to measure size of software projects
In statistics, point estimation is the process of providing a number or vector (which could be an infinite dimensional vector such as a function) that is stochastically 'close' in some sense to the actual value of that number or vector. For example, suppose that a population of people has a known mean height of 180 cm and an unknown standard deviation. Point estimation could be applied to a sample from this population to obtain an estimate of the standard deviation of its heights.
it means estimation about or nearly estimation is my best answer
It could represent a point whose coordinates do satisfy the requirements of the function.
yes
If an estimation, or estimate, is a guess, an approximate estimation is a rougher guess.
In statistics, point estimation is the process of providing a number or vector (which could be an infinite dimensional vector such as a function) that is stochastically 'close' in some sense to the actual value of that number or vector. For example, suppose that a population of people has a known mean height of 180 cm and an unknown standard deviation. Point estimation could be applied to a sample from this population to obtain an estimate of the standard deviation of its heights.
it means estimation about or nearly estimation is my best answer
The end-point of the titration is more sharper if NH4CNS exist in the solution;
When using front-end estimation, we add or subtract the front digits, and then adjust for a more accurate estimation by estimating the sum of the digits to the right of the decimal point.
cost estimation and architecture uses linear function.
It could represent a point whose coordinates do satisfy the requirements of the function.
A guess created by estimation and observation.
it means the front of somthing
In asking you clever clogs
Point function and path function are found in Thermodynamics.
The break even point refers to the point wherebye the voyage freight rate equates to the cost of running the ship!
Joachim Engel has written: 'Tree structured function estimation with Haar wavelets' -- subject(s): Curve fitting, Estimation theory, Trees (Graph theory), Wavelets (Mathematics)