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An Introduction to Mathematical Statistics and Its Applications
An Introduction to Mathematical Statistics and Its Applications
Knygos.lt klubas Knygos.lt nariams
373,03 €
-35%
Įprastai
573,89 €
  • Išsiųsime per 12–18 d.d.
For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications, 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, wh…
  • Leidėjas:
  • ISBN-10: 0134114213
  • ISBN-13: 9780134114217
  • Formatas: 20.1 x 25.7 x 3.1 cm, kieti viršeliai
  • Kalba: Anglų

An Introduction to Mathematical Statistics and Its Applications (el. knyga) (skaityta knyga) | knygos.lt

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For courses in Mathematical Statistics
Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications, 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.
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  • Autorius: Richard Larsen
  • Leidėjas:
  • ISBN-10: 0134114213
  • ISBN-13: 9780134114217
  • Formatas: 20.1 x 25.7 x 3.1 cm, kieti viršeliai
  • Kalba: Anglų

For courses in Mathematical Statistics
Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications, 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.

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