352,34 €
391,49 €
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Statistical Computing Environments for Social Research
Statistical Computing Environments for Social Research
352,34
391,49 €
  • We will send in 10–14 business days.
The nature of statistics has changed from classical notions of hypothesis testing, towards graphical and exploratory data analysis which exploits the flexibility of interactive computing and graphical displays. This book describes seven statistical computing environments - APL2STAT, GAUSS, Lisp-Stat, Mathematica, S, SAS//IML, and Stata - which can be used effectively in graphical and exploratory modeling. These statistical computing environments, in contrast to standard statistical packages, p…
391.49
  • Publisher:
  • ISBN-10: 0761902694
  • ISBN-13: 9780761902690
  • Format: 15.2 x 22.9 x 1.6 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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The nature of statistics has changed from classical notions of hypothesis testing, towards graphical and exploratory data analysis which exploits the flexibility of interactive computing and graphical displays. This book describes seven statistical computing environments - APL2STAT, GAUSS, Lisp-Stat, Mathematica, S, SAS//IML, and Stata - which can be used effectively in graphical and exploratory modeling.

These statistical computing environments, in contrast to standard statistical packages, provide programming tools for building other statistical applications. Programmability, flexible data structures, and - in the case of some of the computing environments - graphical interfaces and object-oriented programming, permit res

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  • Publisher:
  • ISBN-10: 0761902694
  • ISBN-13: 9780761902690
  • Format: 15.2 x 22.9 x 1.6 cm, kieti viršeliai
  • Language: English English

The nature of statistics has changed from classical notions of hypothesis testing, towards graphical and exploratory data analysis which exploits the flexibility of interactive computing and graphical displays. This book describes seven statistical computing environments - APL2STAT, GAUSS, Lisp-Stat, Mathematica, S, SAS//IML, and Stata - which can be used effectively in graphical and exploratory modeling.

These statistical computing environments, in contrast to standard statistical packages, provide programming tools for building other statistical applications. Programmability, flexible data structures, and - in the case of some of the computing environments - graphical interfaces and object-oriented programming, permit res

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