#
Statistics
Resource Information
The concept ** Statistics** represents the subject, aboutness, idea or notion of resources found in **Merrimack Valley Library Consortium**.

The Resource
Statistics
Resource Information

The concept

**Statistics**represents the subject, aboutness, idea or notion of resources found in**Merrimack Valley Library Consortium**.- Label
- Statistics

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- A first course in statistics
- Advanced statistics and data mining for data science
- Anomaly detection for monitoring : a statistical approach to time series anomaly detection
- Applied missing data analysis in health sciences
- Applied statistics and probability for engineers
- Applied statistics and probability for engineers, Student solutions manual
- Basic statistics and data mining for data science
- Common errors in statistics (and how to avoid them)
- Head first statistics
- Longitudinal data and SAS : a programmer's guide
- Mastering Python data analysis : become an expert at using Python for advanced statistical analysis of data using real-world examples
- Mathematical statistics with resampling and R
- Matrix differential calculus with applications in statistics and econometrics
- More predictive analytics : Microsoft Excel
- Nullology
- Numbersense : how to use big data to your advantage
- Practical statistics for data scientists : 50 essential concepts
- Probability and statistics for finance
- R for Microsoft Excel users : making the transition for statistical analysis
- SAS for mixed models
- Statistical analysis : Microsoft Excel 2013
- Statistical analysis using Excel LiveLessons, Volume 1
- Statistical analysis using Excel LiveLessons, Volume 2
- Statistical analysis with Excel for dummies
- Statistical techniques for forensic accounting : understanding the theory and application of data analysis
- Statistics for biomedical engineers and scientists : how to visualize and analyze data
- Statistics for business : decision making and analysis
- Statistics for data science : leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks
- Statistics for dummies
- Statistics for finance
- Statistics hacks
- Statistics in a nutshell
- Success probability estimation with applications to clinical trials
- The complete idiot's guide to statistics
- Translating statistics to make decisions : a guide for the non-statistician
- Understanding anomaly detection : an exploration of anomaly detection's history, applications, and state-of-the-art techniques

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.mvlc.org/resource/4uzWLsyaU_8/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/resource/4uzWLsyaU_8/">Statistics</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.mvlc.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.mvlc.org/">Merrimack Valley Library Consortium</a></span></span></span></span></div>`