#
Mathematical statistics
Resource Information
The concept ** Mathematical statistics** represents the subject, aboutness, idea or notion of resources found in **Indiana State Library**.

The Resource
Mathematical statistics
Resource Information

The concept

**Mathematical statistics**represents the subject, aboutness, idea or notion of resources found in**Indiana State Library**.- Label
- Mathematical statistics

- Authority link
- (EG-IN)573221

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- A simple approach to inference in covariance structure modeling with missing data : Bayesian analysis
- Applied statistics for food and agricultural scientists
- Data reduction; analysing and interpreting statistical data
- Development of statistically parallel tests by analysis of unique item variance
- Identifying proxy sets in multiple linear regression : an aid to better coefficient interpretation
- Introduction to data analysis and statistical inference
- Introduction to mathematical statistics
- Introduction to statistical method
- Introduction to statistical methods
- Making sense of data : a practical guide to exploratory data analysis and data mining
- Mathematical statistics
- Maximum likelihood as an operational tool in socio-economic modeling : as outlined in a recent thesis of D. W. Peterson
- Principles of statistical inference
- Probability and statistics; : models for research
- Quantitative data analysis : an introduction
- Sense and nonsense of statistical inference : controversy, misuse, and subtlety
- Sequential tests for circular probable error
- So much data so little math : how to predict data trends, 5 easy profitable methods
- Some key concepts for the design and review of empirical research
- Statistical analysis in chemistry and the chemical industry
- Statistical theory: the relationship of probability, credibility, and error; : an examination of the contemporary crisis in statistical theory from a behaviourist viewpoint
- Statistics : probability, inference, and decision
- Statistics in the 21st century
- Statistics of random processes
- Statistics: a guide to the unknown.
- The advantages of hierarchical linear modeling
- The decline and fall of type II error rates
- Theory and derivation for Weibull parameter probability weighted moment estimators
- Two- and three-parameter Weibull goodness-of-fit tests
- Uncertainties in climate data sets
- Variances based on data with dead time between the measurements

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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.library.in.gov/resource/d5_4tPQ_YPY/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.in.gov/resource/d5_4tPQ_YPY/">Mathematical statistics</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.in.gov/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.in.gov/">Indiana State Library</a></span></span></span></span></div>`