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Everything about Count data
Statistical data type
In statistics, count data is a statistical data type describing countable quantities, data which can take only the counting numbers, non-negative integer values {0, 1, 2, 3, ...}, and where these integers arise from counting rather than ranking. The statistical treatment of count data is distinct from that of binary data, in which the observations can take only two values, usually represented by 0 and 1, and from ordinal data, which may also consist of integers but where the individual values fall on an arbitrary scale and only the relative ranking is important. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Count dataA 5-minute orientation
- Skim a recent paper: edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasetsInfluential work since 2022
- Pick up a classic book: Counting processes and survival analysisThe most-reprinted book on the subject
- Read the landmark paper: Differential expression analysis for sequence count dataCited 14,272 times
- Go sideways: Mathematical statisticsA closely related topic
- Go sideways: Data transformation (statistics)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Differential expression analysis for sequence count data
Count (and count-like) data in finance
Predictive Model Assessment for Count Data
Count Data Distributions
Analysis of zero-adjusted count data
Generalized hurdle count data regression models
Analysing longitudinal count data with overdispersion
Count data models for demographic data∗
🆕 Influential since 2022
edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets
Count Regression and Machine Learning Techniques for Zero-Inflated Overdispersed Count Data: Application to Ecological Data
Making Data Work Count
Spectral estimation of Hawkes processes from count data
Multiscale analysis of count data through topic alignment
📚 Books worth reading
Counting processes and survival analysisThomas R. Fleming, David P. Harrington · 2005
Nonlinear Optimization with Financial ApplicationsMichael Bartholomew-Biggs · 2005- 📕Practical application of online monitoringMichelle M. Frey · 2004
- 📕An automatic cell counterLeon Bess · 1970
A practical guide to on-line particle countingErika E. Hargesheimer · 1995- 📕An improved and integrated system for processing herring samplesClarence Bourque · 1998
Traffic Data Collection, Analysis, and Forecasting for Mechanistic Pavement DesignAmerican Association Of State Highway and Transportation Offices · 2005- 📕Computer processing of dynamic images from an Anger scintillation cameraWorkshop on Computer Processing of Dynamic Images from an Anger Scintillation Camera Washington University 1971. · 1974
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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