Applied regression analysis

This record preserves its author, date and source link. Open HN to read the full context.

This record preserves its author, date and source link. Open HN to read the full context.

This record preserves its author, date and source link. Open HN to read the full context.

This record preserves its author, date and source link. Open HN to read the full context.

This record preserves its author, date and source link. Open HN to read the full context.

This record preserves its author, date and source link. Open HN to read the full context.

This record preserves its author, date and source link. Open HN to read the full context.

…ookbooks with statements like "and then you should do this regression and compare the p-value to 5%," but that's not what you want. Any of several books with titles like Applied Regression Analysis or Multivariate Statistical Analysis will be at a more substantial level. After that there are specialist topics - experiment design, survival analysis, heavy tailed distributions, robust statistics, multi-level modeling, asymptotics. Statisticians get involved in a lot of areas, from quality control in manufacturing to clinical trial design to economic forecasting to genetics, so there's a lot of overlap with other fields in the academic literature. Econometric Analysis by Greene is the economists' favorite stats book, and is very self-contained, covering everything from computational tricks for Monte Carlo simulations top some very modern mul…