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Data Science For Professionals

By: Material type: TextTextLanguage: English Publication details: Mumbai: Shroff Publishers & Distributors Pvt. Ltd., 2019Description: 530ISBN:
  • 9789352138975
Subject(s): DDC classification:
  • 006.312 DAS
Summary: The book is meant for a wide-spectrum of readership-empirical scientists, consultants, technocrats, advertisers, researchers and students learning Data Science for conducting small replicated or non-replicated experiments / demonstrations. It deals with two-factor three-level designs to be conducted only in six experimental units. For this an exhaustive set of 9c6=9c3 = 84 designs have been generated. Least Square algorithm has been applied for estimating separate effect of each component and their interaction along with fitting of response surface; meeting both the objectives for any factorial experiment. Of them seventy-six could be found as valid or estimable designs and the rest as non-estimable ones. Value of the determinant obtained for Least Square Matrix for each such design has been the indicator of its D-optimality status: the same could also be obtained from geometric structure of the designs. Such exhaustive search ascertains (8+4) D-optimal designs; of them only (1+3) are hitherto known. Also, rotatable feature of any such design does not affect its D-optimality status.
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book Book Alliance School of Liberal Arts 006.312 DAS (Browse shelf(Opens below)) Available LA01970
Total holds: 0

The book is meant for a wide-spectrum of readership-empirical scientists, consultants, technocrats, advertisers, researchers and students learning Data Science for conducting small replicated or non-replicated experiments / demonstrations.
It deals with two-factor three-level designs to be conducted only in six experimental units. For this an exhaustive set of 9c6=9c3 = 84 designs have been generated. Least Square algorithm has been applied for estimating separate effect of each component and their interaction along with fitting of response surface; meeting both the objectives for any factorial experiment. Of them seventy-six could be found as valid or estimable designs and the rest as non-estimable ones. Value of the determinant obtained for Least Square Matrix for each such design has been the indicator of its D-optimality status: the same could also be obtained from geometric structure of the designs. Such exhaustive search ascertains (8+4) D-optimal designs; of them only (1+3) are hitherto known. Also, rotatable feature of any such design does not affect its D-optimality status.

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