John Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit.
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John Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit.
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Pub Date: Reverse
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Edition:
2000, Sage Publications, Inc
Trade paperback,
New
Available Copies: 10+
Details:
ISBN:
0761915850
ISBN-13:
9780761915850
Pages:
96
Publisher:
Sage Publications, Inc
Published:
2000
Language:
English
Alibris ID:
17382828752
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New. Trade paperback (US). Glued binding. 96 p. Quantitative Applications in the Social Sciences, 130.
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Edition:
2000, Sage Publications, Inc
Trade paperback,
New
Available Copies: 10+
Details:
ISBN:
0761915850
ISBN-13:
9780761915850
Pages:
96
Publisher:
Sage Publications, Inc
Published:
2000
Language:
English
Alibris ID:
14817715485
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Standard Shipping: $4.89
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Seller's Description:
New. Trade paperback (US). Glued binding. 96 p. Quantitative Applications in the Social Sciences, 130.
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Edition:
2000, Sage Publications, Inc
Trade paperback,
New
Available Copies: 5
Details:
ISBN:
0761915850
ISBN-13:
9780761915850
Pages:
96
Publisher:
Sage Publications, Inc
Published:
1/20/2000
Language:
English
Alibris ID:
17187904397
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New in New jacket. Nonparametric Simple Regression: Smoothing Scatterplots (Paperback or Softback)
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2000,
Sage Publications, Inc, Thousand Oaks
ISBN-13: 9780761915850
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