Probability and Statistical Inference
- Indbinding:
- Hardback
- Sideantal:
- 560
- Udgivet:
- 1. januar 2019
- Udgave:
- 10
- Størrelse:
- 262x211x28 mm.
- Vægt:
- 1228 g.
- Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025
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- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Probability and Statistical Inference
For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics.
An authoritative introduction to an in-demand field Advances in computing technology - particularly in science and business - have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, Probability and Statistical Inference, 10th Edition emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. This applied introduction to probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. It is designed for a two-semester course, but it can be adapted for a one-semester course. A good calculus background is needed, but no previous study of probability or statistics is required.
An authoritative introduction to an in-demand field Advances in computing technology - particularly in science and business - have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, Probability and Statistical Inference, 10th Edition emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. This applied introduction to probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. It is designed for a two-semester course, but it can be adapted for a one-semester course. A good calculus background is needed, but no previous study of probability or statistics is required.
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