Select five metrics used to assess performance (e.g. error, root
mean square error (RMSE), bias, etc.)....
Select five metrics used to assess performance (e.g. error, root
mean square error (RMSE), bias, etc.). Discuss advantages and
disadvantages of each metric
Describe briefly the following method of Out of Sample
forecast criterion
1... Root Mean Square error
2...Mean absolute error
3...Mean absolute percentage error
4...Maximum Absolute Error
5...Maximum Absolute Percentage error.
Write down their formulae and discuss briefly how you
interpret them
1.at is the root mean square error (RMSE) for a "next period
forecast" using 3-month moving average model for these three years
of demand? Give your answer as an integer.
2.at is the root mean square error (RMSE) for a "next period
forecast" using naive model for these three years of demand? Give
your answer as an integer
3.What is the root mean square error (RMSE) for a "next period
forecast" using cumulative model for these three years of demand?...
How can internal metrics be used to manipulate the performance
of a company? Are these metrics subject to the same regulation and
audit as other numbers? How can same store sales be used to
manipulate performance metrics? Are they still important and can
they be relied on?
The _____________ is the square root of the arithmetic average
of the squared deviations from the mean. In other words, it is
simply the square root of the ______________.data spread; population standard deviationStandard deviation; data spreadpopulation standard deviation; variancevariance; standard deviation
a. Why does the effective voltage rms (root mean square) used
in sine type signals have in the denominator?
b. What would the equation of the effective voltage rms (root
mean square) be like for square or triangular type signals, since
they do not have in the denominator?
c. applications in life on the subject of oscilloscope and
lissajous figure
Consider the data.
xi
1
2
3
4
5
yi
4
8
6
12
14
(a)
Compute the mean square error using
equation s2 = MSE =
SSE
n −
2
. (Round your answer to two decimal places.)
(b)
Compute the standard error of the estimate using equation
s =
MSE
=
SSE
n −
2
. (Round your answer to three decimal places.)
(c)
Compute the estimated standard deviation of
b1
using equation
sb1 =
s
Σ(xi −...
Consider the data.
xi
1
2
3
4
5
yi
4
6
5
12
13
(a)
Compute the mean square error using equation
s2 = MSE =
SSE
n −
2
. (Round your answer to two decimal places.)
(b)
Compute the standard error of the estimate using equation
s =MSE=
SSE
n − 2
=
. (Round your answer to three decimal places.)
(c)
Compute the estimated standard deviation of
b1 using equation
sb1 =
s
Σ(xi −
x)2...
For MSE (mean square error), why is it important to to
know the parameters of the distribution of the sample values of the
attributes used for the observations ? please provide
example and a thorough explanation. Please explain why we
need to know the parameter to calculate MSE
Identify 10-15 financial and nonfinancial metrics used to assess
the viability of opening a satellite clinic. From this list, select
three financial and three nonfinancial metrics that are the most
important and explain their significance (net revenue,
demographics, customer relations). Where will you find, and how
will you gather, the identified metrics you need to develop your
assessment? Be sure to identify each metric as external or
internal.
Provide a description for each selected metric (total of six
descriptions). Depending...