106,07 €
124,79 €
-15% su kodu: ENG15
Discovering Partial Least Squares with JMP
Discovering Partial Least Squares with JMP
106,07
124,79 €
  • Išsiųsime per 10–14 d.d.
Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and e…
  • Leidėjas:
  • ISBN-10: 1612908225
  • ISBN-13: 9781612908229
  • Formatas: 19.1 x 23.5 x 1.7 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Discovering Partial Least Squares with JMP (el. knyga) (skaityta knyga) | knygos.lt

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Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey.

EXTRA 15 % nuolaida su kodu: ENG15

106,07
124,79 €
Išsiųsime per 10–14 d.d.

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  • Autorius: Ian Cox
  • Leidėjas:
  • ISBN-10: 1612908225
  • ISBN-13: 9781612908229
  • Formatas: 19.1 x 23.5 x 1.7 cm, minkšti viršeliai
  • Kalba: Anglų Anglų

Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey.

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