.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Fitting Linear Models
A. McIntosh
€ 66.10
FREE Delivery in Ireland
Description for Fitting Linear Models
Paperback. Series: Lecture Notes in Statistics. Num Pages: 200 pages, biography. BIC Classification: PBW. Category: (G) General (US: Trade). Dimension: 235 x 155 x 11. Weight in Grams: 326.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
1982
Publisher
Springer-Verlag New York Inc. United States
Number of pages
200
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
200
Place of Publication
New York, NY, United States
ISBN
9780387907468
SKU
V9780387907468
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Fitting Linear Models