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Forum Pasca Sarjana
Published by Institut Pertanian Bogor
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Core Subject : Education,
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Articles 2 Documents
 1 
Search results for , issue "Vol. 18 No. 1 (1995): Forum Pascasarjana" : 2 Documents clear
Isolation and Identification of Serum Gamma Immunoglobulin (IgG) of Native and Imported Chickens By Ion Exchange Chromatography and Immunochernistry Methods Murniaty Simorangkir; Aisjah Girindra; Fachriyan H. Pasaribu; Wasmen Manalu
Forum Pasca Sarjana Vol. 18 No. 1 (1995): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2381.821 KB)

Abstract

The study was designed to isolate and identify serum IgG of native and imported chickens, after being immunized with Newcastle Disease Vaccine. The isolation method used was the DEAE-Cellulose ion exchange chromatography using 0.01 M Tris-HCl buffer, at pH 8.0, with linear gradient NaCl from 0.01 M to 0.30 M after salting out with anhydrous Na2SO4. Identification of IgG characteristics carried out using the Ouchterlony double immunodiffusion, immuno-electrophoresis and SDS-PAGE 8% methods. Serum fractionation of native and imported chickens using the DEAE-Cellulose chromatography, after salting out with anhydrous Na2So4 of 18,14 and 14% resulted in four peaks of protein fractions.
The Estimation of Price Sensitivity Curves Using Generalized Linear Models Hari Wijayanto; Khairil A. Notodiputro; . Barizi; Jajah K. Wagiono
Forum Pasca Sarjana Vol. 18 No. 1 (1995): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1398.428 KB)

Abstract

The estimation of price sensitivity curves is usually based on historical data of the product. The estimates obtained, however, are potentially biased especially if the previous condition does not reflect the current market situation. alternativety, the estimation could be based on preference data. This paper introduces the use of Generalized Linear models to estimate the curve based on preference data.

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