Want this question answered?
o bhen k lodo madarchod sale hm
Advantages: The estimates of the unknown parameters obtained from linear least squares regression are the optimal. Estimates from a broad class of possible parameter estimates under the usual assumptions are used for process modeling. It uses data very efficiently. Good results can be obtained with relatively small data sets. The theory associated with linear regression is well-understood and allows for construction of different types of easily-interpretable statistical intervals for predictions, calibrations, and optimizations. Disadvantages: Outputs of regression can lie outside of the range [0,1]. It has limitations in the shapes that linear models can assume over long ranges The extrapolation properties will be possibly poor It is very sensitive to outliers It often gives optimal estimates of the unknown parameters.
The answer depends on which parameters are to be calculated.
Parametric equations not only give a more general solution to a problem, but they also display the relationship between the parameters, thus providing a better understanding of the what the solution suggests.
Advantages:The nature of the relationship is generally easier to see: linear, polynomial, exponential, power etc;The range and domain of the data sets are immediately apparent,Estimation for intermediate values (interpolation) is relatively straightforward.Disadvantages:Not very useful if the observations are unevenly spread over a large range or domain (very skewed distribution).Exact values not given,Exact parameters describing relationship not available,Tendency of naive users to extrapolate.
o bhen k lodo madarchod sale hm
As long as you give me the marks and you take none yourself I may consider doing such writing.
this questions isn't specified enough to be answered
parameters
Patricia K Lamm has written: 'Estimation of discontinuous coefficients and boundary parameters for hyperbolic systems'
"...While there are advantages to an unwritten constitution, the disadvantages include no limitations on the legislative body, an unclear division of the powers of government and the possibility of devolution."
They give estimates of unknown parameters which can then be used to make predictions based on distributions which are better known.
Advantages: The estimates of the unknown parameters obtained from linear least squares regression are the optimal. Estimates from a broad class of possible parameter estimates under the usual assumptions are used for process modeling. It uses data very efficiently. Good results can be obtained with relatively small data sets. The theory associated with linear regression is well-understood and allows for construction of different types of easily-interpretable statistical intervals for predictions, calibrations, and optimizations. Disadvantages: Outputs of regression can lie outside of the range [0,1]. It has limitations in the shapes that linear models can assume over long ranges The extrapolation properties will be possibly poor It is very sensitive to outliers It often gives optimal estimates of the unknown parameters.
Advantages: The estimates of the unknown parameters obtained from linear least squares regression are the optimal. Estimates from a broad class of possible parameter estimates under the usual assumptions are used for process modeling. It uses data very efficiently. Good results can be obtained with relatively small data sets. The theory associated with linear regression is well-understood and allows for construction of different types of easily-interpretable statistical intervals for predictions, calibrations, and optimizations. Disadvantages: Outputs of regression can lie outside of the range [0,1]. It has limitations in the shapes that linear models can assume over long ranges The extrapolation properties will be possibly poor It is very sensitive to outliers It often gives optimal estimates of the unknown parameters.
Patrick Joseph Brown has written: 'Correlation coefficients calculated on a world wide basis between observed Secchi depths and other simultaneously measured standard oceanographic parameters' -- subject(s): Oceanography
h-parameters are Real Numbers up to radio frequencyThey are easy to measureThey can be determined from transistor static characteristic curvesThey are convenient to use in circuit analysis and designEasily convertible from one configuration to otherReadily supplied by manufacturers
Controlled parameters stay constant throughout the experiment. Variable parameters are the ones you can change.