Description: Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, ...

Introduces students to the tools methods and theory behind extracting insights from data. Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical ...

Phylogenetically based statistical methods attempt to account for this fact. Phylogenetic methods allow traditional topics in comparative and ecological physiology to be addressed with greater rigor, ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

An introduction to statistical methods and statistical reasoning, with particular reference to application in the social sciences. No prior knowledge of statistics is assumed.

An introduction to basic mathematical and statistical concepts for use in MPA courses in economics and quantitative approaches. The course covers the following topics: Statistics: Discrete and ...

Introduction to Statistics This course is the starting point for learning about statistical analysis in clinical and public health research. Attendees will learn the key concepts from statisticians ...

Course TopicsThe first of the Spring 2010 LISA Short Courses was “An Introduction to Statistical Analysis,” by Dr. Eric Vance, the director of LISA (Laboratory for Interdisciplinary Statistical ...

This paper presents a definitive description of neural network methodology and provides an evaluation of its advantages and disadvantages relative to statistical procedures. The development of this ...