Examples of 'estimation techniques' in a sentence
Meaning of "estimation techniques"
Estimation techniques are methods or approaches used to approximate or judge the value, size, or quantity of something when precise measurements or calculations are not available or feasible. These techniques often involve making educated guesses, relying on statistical models, or using past data to make reasonable predictions or estimates
How to use "estimation techniques" in a sentence
Basic
Advanced
estimation techniques
One method of calibration involves estimation techniques.
Noninvasive estimation techniques have been proposed.
Requirements for objective estimation techniques.
Position estimation techniques may include trilateration and triangulation.
The most common estimation techniques.
Estimation techniques for kd.
Planning and time estimation techniques.
Two estimation techniques are derived from the bayesian statistical inference.
This module includes advanced error estimation techniques.
Other estimation techniques.
Scrum does not force you to use relative estimation techniques.
The estimation techniques and measures of precision are discussed in a later section.
A quick study of the power estimation techniques will be shown.
That was followed by a shift in focus to data quality and release estimation techniques.
Overview of risk estimation techniques.
See also
Estimation techniques and methods of approximation in conditions when basic data are of low quality.
All of those are estimation techniques.
The symbol estimation techniques can then be implemented to detect the symbols transmitted.
M exploring ways to fill gaps in country data by applying estimation techniques.
There are several estimation techniques known to estimate the dominant direction y.
The basis of inputs and assumptions and the estimation techniques used to.
Array processing and estimation techniques have been used in wireless communication.
I hope this helps you when trying to use relative estimation techniques.
Some of the more common estimation techniques for linear regression are summarized below.
It will be appreciated however that other distance estimation techniques could be used.
Indirect estimation techniques were used to calculate the number of induced abortions performed annually.
This is often expensive requiring sophisticated estimation techniques and specialised professionals.
There exists known methods for classifying interference by means of spectrum estimation techniques.
Detailed instructions for estimation techniques are too large to fit into this article.
The drawback of this technique lies mainly in combining these two estimation techniques.
The pilot transmission and channel estimation techniques described herein may be implemented by various means.
The basic pattern of the results is similar across all specifications and estimation techniques.
Several points should be noted concerning the estimation techniques used to generate these results.
I have written three diverse project management books with time and cost estimation techniques.
Ell have found that improved estimation techniques reduced budget overuns in software development preparing a proposal.
Then we describe our data and our matching and estimation techniques in more detail.
The supervised estimation techniques have been widely explored in the context of OFDM.
Additionally EM can be used with constrained estimation techniques.
Institutions shall use PD estimation techniques only with supporting analysis.
Estimation Techniques and Tests on averages and variances.
Member States will be allowed to use estimation techniques instead of surveys for compiling statistics.
Estimation techniques are poorly developed ;.
Determination of data Release estimation techniques.
Since then, estimation techniques have grown considerably in sophistication and complexity.
In some circumstances, other estimation techniques may be available.
So, accurate noise modeling is important to develop efficient estimation techniques.
In this case, robust estimation techniques are recommended.
If they are not, the components are determined using estimation techniques.
As prevalence rates increase, estimation techniques are less likely to beaffected by sampling biases.
In nonparametric statistics, a kernel is a weighting function used in non-parametric estimation techniques.
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