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02769nam a2200361Ia 4500 |
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99741629304151 |
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20241030105220.0 |
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190513s2015 caua bp 001 0 eng d |
| 020 |
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|a 1491907339
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|a 9781491907337
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|a 1491907363
|q (ebook)
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|a 9781491907368
|q (ebook)
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| 035 |
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|a (OCoLC)1101100005
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| 035 |
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|a (OCoLC)on1101100005
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|a U@S
|b spa
|c U@S
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|a U@SA
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4 |
|a QA276.4
|b .D69 2015
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| 100 |
1 |
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|a Downey, Allen.
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| 245 |
1 |
0 |
|a Think stats /
|c Allen B. Downey.
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| 246 |
3 |
4 |
|a Think stats :
|b exploratory data analysis
|
| 250 |
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|a 2nd ed.
|
| 260 |
|
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|a Sebastopol, CA :
|b O'Reilly Media,
|c c2015.
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| 300 |
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|a xv, 206 p. :
|b il. ;
|c 24 cm.
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| 504 |
|
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|a Incluye referencias bibliográficas e índice.
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| 520 |
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|a Teaches the entire exploratory data analysis process using a single case study.
|
| 520 |
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|a "If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis -from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code; run experiments to test statistical behavior, such as generating samples from several distributions; use simulations to understand concepts that are hard to grasp mathematically; import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools; use statistical inference to answer questions about real-world data." --Contratapa.
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| 505 |
0 |
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|a Exploratory data analysis -- Distributions -- Probability mass functions -- Cumulative distribution functions -- Modeling distributions -- Probability density functions -- Relationships between variables -- Estimation -- Hypothesis testing -- Linear least squares -- Regression -- Time series analysis -- Survival analysis -- Analytic methods.
|
| 650 |
|
0 |
|a Statistics
|x Computer programs.
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| 650 |
|
0 |
|a Statistics
|x Study and teaching.
|
| 650 |
|
0 |
|a Quantitative research
|v Programmed instruction.
|
| 650 |
|
7 |
|a Estadística
|x Programas de computación.
|2 UDESA
|
| 650 |
|
7 |
|a Estadística
|x Enseñanza.
|2 UDESA
|
| 650 |
|
7 |
|a Investigación cuantitativa
|v Instrucción programada.
|2 UDESA
|