Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fitting Linear Models: An Application of Conjugate Gradient Algorithms

Fitting Linear Models: An Application of Conjugate Gradient Algorithms

McIntosh, A.

Paperback

Series: Lecture Notes in Statistics, Book 10

General GardeningGeneral MathematicsProbability & Statistics

ISBN10: 0387907467
ISBN13: 9780387907468
Publisher: Springer Nature
Published: Aug 18 1982
Pages: 200
Weight: 0.66
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English
The increasing power and decreasing price of smalI computers, especialIy personal computers, has made them increasingly popular in statistical analysis. The day may not be too far off when every statistician has on his or her desktop computing power on a par with the large mainframe computers of 15 or 20 years ago. These same factors make it relatively easy to acquire and manipulate large quantities of data, and statisticians can expect a corresponding increase in the size of the datasets that they must analyze. Unfortunately, because of constraints imposed by architecture, size or price, these smalI computers do not possess the main memory of their large cousins. Thus, there is a growing need for algorithms that are sufficiently economical of space to permit statistical analysis on smalI computers. One area of analysis where there is a need for algorithms that are economical of space is in the fitting of linear models.

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