query: How to model zero-inflated mass data?
positive_passages.docid: 147224
positive_passages.text: What is the difference between zero-inflated and hurdle models?
negative_passages.docid: 148673
negative_passages.text: Comparison of log-likelihood of two non-nested models
negative_passages.docid: 148679
negative_passages.text: Modelling with more variables than data points
negative_passages.docid: 73588
negative_passages.text: Probability mass function of the sample mean
negative_passages.docid: 9357
negative_passages.text: Time series modeling with high-frequency data
negative_passages.docid: 67096
negative_passages.text: How to guess a curve distribution from count data
negative_passages.docid: 86476
negative_passages.text: Modelling population with $\frac{dP}{dt}=P(\beta - \delta P)$
negative_passages.docid: 98625
negative_passages.text: theoretical basis for logistic regression
negative_passages.docid: 29763
negative_passages.text: What regression model is the most appropriate to use with count data?
negative_passages.docid: 36891
negative_passages.text: Properties of logistic regressions
negative_passages.docid: 39736
negative_passages.text: Regularization methods for logistic regression
negative_passages.docid: 38218
negative_passages.text: Are there algorithms for computing "running" linear or logistic regression parameters?
negative_passages.docid: 137199
negative_passages.text: Comparing the fit of quasi-Poisson and negative binomial models
negative_passages.docid: 145730
negative_passages.text: Idea and intuition behind quasi maximum likelihood estimation (QMLE)
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negative_passages.text: Estimating Uniform distribution endpoints using data with errors
negative_passages.docid: 99653
negative_passages.text: Resources suggestion about linear model
negative_passages.docid: 96964
negative_passages.text: Model Selection: Logistic Regression