M. Barros (in English)

Forecasting, Data Analysis and Statistics. Lecture Notes on Probability and Statistics.

Páginas

Home
Facebook page
My main site

Sunday, October 14, 2012

Book - Probability and Statistics - Chapter 2 - section 2 - Conditional Probability and Independence

Posted by Unknown at 3:28 PM

Email This BlogThis!Share to X Share to Facebook Share to Pinterest

Labels: bayes theorem, conditional probability, independence, independent events, law of addition, multiplication theorem, partition, partition of sample space, theorem of bayes, total probability theorem

No comments:

My Tweets

Tweets by @barrosm_blog

Amazon Books

Facebook Badge

M Barros | Promova sua página também

Share on Google+

Back to my other sites

M. Barros Consulting
M. Barros' Facebook page

Google Translate

Subject Cloud

Academic Blogs analytics ARCH ARIMA average cost bayes theorem BI big data big data in insurance blog Blogs book Box-Jenkins business intelligence cars CDS Charts communication skills comparison of costs computer science Computers computing conditional probability contagion continuous random variable continuous time correlations Coursera covariance crisis daily load forecasting Data data analysis data analysis and statistics data analysis excel data mining data science data sources default definition of mean definition of probability deregulation derivatives descriptive statistics double seasonal ebook ECB Ecomod Economic Opportunities for women Economics economy Electricity Price Electricity price forecasting energy forecasting energy load Euro euro crisis Europe event Excel excel data analysis excel random numbers Excel substitute Excel; Excel tricks; random numbers; sampling without replacement; sampling with replacement; RAND() function; SMALL() function; MATCH();RANDBETWEEN exchange rate expected cost expected value Exponential distribution exponential smoothing Finance flight to quality forecasting Freakonomics free book free course in R free online courses Gamma function GARCH Gnumeric gold google Greece histograms history holiday effects holt-winters Hybrid Model independence independent events insurance International Symposium on Forecasting 2012 introduction jacobian method job skills jobs Krugman law of addition leading indicators lecture notes links liquidity load forecasting market inefficiency markets Matlab Matlab clone Matlab substitute Maximum mean Minimum moment generating function monte carlo methods monty hall paradox monty hall problem MOOC mortgages multiplication theorem Neural Networks Neuro-Fuzzy new posts Normal Distribution numerical measures online courses Order Statistics ordinal and nominal data pareto diagrams partition partition of sample space Poisson randon variable population probability probability and statistics programming in R programming skills properties of probability quantitative finance quantitative trading R R course R free course R programming language R statistical package R via browser R via internet R via web browser random number on excel Random numbers Regulation sample sample space Sampling Distribution scatterplots scientific programming Scilab Scilab new version Short term load forecasting simplystatistics.org Soft Computing solved exercise solved probability problem sovereign risk speculative bubbles stat course on itunes stat online couse statistical programming Statistics statistics blog statistics for engineers statistics for engineers scientists economists statistics online course stochastic processes Stochastic Volatility stocks subprime swiss franc teaching technology temperature effects The Economist theorem of bayes time series total probability theorem transformation of variables Wall Street. CDOs Weibull distribution wikipedia yahoo finance

Search Box

Page Views

Blog Archives

► 2016 (1)
- ► July (1)

► 2013 (1)
- ► July (1)

▼ 2012 (29)
- ► December (11)
- ► November (3)
- ▼ October (8)
- ► January (7)

► 2011 (13)
- ► December (3)
- ► November (1)
- ► October (1)
- ► September (2)
- ► August (6)

Páginas

Sunday, October 14, 2012

Book - Probability and Statistics - Chapter 2 - section 2 - Conditional Probability and Independence

No comments:

Post a Comment