Posts Tagged ‘Linear’
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In real-world problems related to finance, business, and management, mathematicians and economists frequently encounter optimization problems. In this classic book, George Dantzig looks at a wealth of examples and develops linear programming methods for their solutions. He begins by introducing the basic theory of linear inequalities and describes the powerful simplex method used to solve them. Treatments of the price concept, the transportation problem, and matrix … More >>
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Queueing Theory deals with systems where there is contention for resources, but the demands are only known probabilistically. This book can be considered to be a monograph or a textbook, and thus is aimed at two audiences: those who already know Queueing Theory but would like to know more of the Linear Algebraic Approach; and as a rst course for students who don’t already have a strong background in probability, and feel more comfortable with algebraic arguments. A… More >>
I need to use linear regression on my calculator to find a linear function that can be used to predict the sales x years after 2003!
The following table shows the sales of ipods in the US for the years 1996-2000
Year Sales
03 $1132
04 $1482
05 $1469
06 $1502
07 $1638
Then predict the sales in the year 2010
THANKS!
Linear Programming. I do a complete example! For more free math videos, visit JustMathTutoring.com
A multiple linear regression model is developed and assessed. SPSS output is provided (not generated). The model uses NHL data from the 200708 season to determine factors that may explain the players performance.
Learn the background of linear regression of how the minimization criterion is selected.
A really brief introduction to the “best fit” line through X:Y data.
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“Applied Linear Statistical Models”, 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented … More >>
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Entertaining, non-technical introduction covers basic concepts of linear programming and its relationship to operations research; geometric interpretation and problem solving, solution techniques, network problems, much more. Appendix offers precise statements of definitions, theorems, and techniques, additional computational procedures. Only high-school algebra needed. Bibliography.
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