#
Wiley series in probability and mathematical statistics, Applied probability and statistics.
Resource Information
The series ** Wiley series in probability and mathematical statistics, Applied probability and statistics.** represents a set of related resources, especially of a specified kind, found in **Boston University Libraries**.

The Resource
Wiley series in probability and mathematical statistics, Applied probability and statistics.
Resource Information

The series

**Wiley series in probability and mathematical statistics, Applied probability and statistics.**represents a set of related resources, especially of a specified kind, found in**Boston University Libraries**.- Label
- Wiley series in probability and mathematical statistics, Applied probability and statistics.

- Title part
- Applied probability and statistics.

- Issn
- 0271-6356

## Context

Context of Wiley series in probability and mathematical statistics, Applied probability and statistics.#### Members

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- A handbook of introductory statistical methods
- Analysis of experiments with missing data
- Applied life data analysis
- Applied linear regression
- Applied probability and stochastic processes in engineering and physical sciences
- Design, data, and analysis
- Experiments with mixtures : designs, models, and the analysis of mixture data
- Exploring data tables, trends, and shapes
- Finding groups in data : an introduction to cluster analysis
- Forecasting with dynamic regression models
- Forecasting with univariate Box-Jenkins models : concepts and cases
- Fundamentals of exploratory analysis of variance
- Introduction to linear regression analysis
- Linear models for unbalanced data
- Linear statistical analysis of discrete data
- Lisp-Stat : an object-oriented environment for statistical computing and dynamic graphics
- Matrix algebra useful for statistics
- Measurement errors in surveys
- Multidimensional scaling
- Multiple comparison procedures
- Multiple imputation for nonresponse in surveys
- Robust regression and outlier detection
- Statistical methods for forecasting
- Statistics and the law
- Statistics for research
- Stochastic simulation
- Telephone survey methodology
- Understanding robust and exploratory data analysis

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