time series analysis., Applied Statistics

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how is a free hand graph secular trend method plotted

Related Discussions:- time series analysis.

Caveat, Caveat We must be careful when interpreting the meaning of asso...

Caveat We must be careful when interpreting the meaning of association. Although two variables may be associated, this association does not imply that variation in the independ

Chi square test, application of chi square test in civil engineering

application of chi square test in civil engineering

Find the inverse laplace transform, Q. Find the inverse Laplace transform o...

Q. Find the inverse Laplace transform of Y (s) = s-4/s 2 + 4s + 13 +3s+5/s 2 - 2s -3. Q. Use the Laplace transform to solve the initial value problem y''+ y = cos(3t), y(0) =

Two methods of isolating trend values in a time series, a) What is meant by...

a) What is meant by secular trend? Discuss any two methods of isolating trend values in a time series.

Types of cost-reimbursable contracts, Types of cost-reimbursable contracts ...

Types of cost-reimbursable contracts are:   Cost Plus Fixed Fee contract (CPPF): Compensation is based on a fixed sum independent of the final project cost. The customer a

Measures of dispersion, calculate variance and standard deviation of the f...

calculate variance and standard deviation of the following sample 12,22,32,13,12,23,34,52,56,23,44,32,11,11

Pie diagram, Circles or Pie Diagram: Circles or pie diagrams are alter...

Circles or Pie Diagram: Circles or pie diagrams are alternative to squares. These are used  for the same purpose i.e. when  the values are differing  widely in their magnitude

Correlation analysis, Correlation Analysis Correlation Analysis is perf...

Correlation Analysis Correlation Analysis is performed to measure the degree of association between two variables. The measure is called coefficient of correlation. The coeffic

Data reduction, The PCA is amongst the oldest of the multivariate statistic...

The PCA is amongst the oldest of the multivariate statistical methods of data reduction. It is a technique for simplifying a dataset, by reducing multidimensional datasets to lower

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