| source University of Canterbury (X) |
level |
department Statistics (X) |
An introduction to the ideas, techniques and applications of statistics and probability.
Score: 10.316558 Details | Listing | Web page
An introduction to the ideas, techniques and applications of statistics and probability.
Score: 10.316558 Details | Listing | Web page
A practical introduction to commonly used statistical methods, designed to increase the breadth of statistics skills. The emphasis is on the application of statistical techniques to solve problems involving real data.
Score: 10.316558 Details | Listing | Web page
Regression models are the most widely used statistical tools for examining the relationships among variables. This course will provide a practical introduction to the fundamentals of regression modelling.
Score: 10.316558 Details | Listing | Web page
This course provides the theoretical foundations for statistical estimation and testing at an introductory level. These are essential for more advanced studies in statistics at higher levels because they facilitate a deeper understanding of statistical techniques and their applications.
Score: 10.316558 Details | Listing | Web page
This course is about the generation of random numbers and their uses, including computer simulations to mimic and contrast random real-world phenomena. It will provide an intuitive and practical understanding of the basic methods in computational statistics, and show how to implement statistical algorithms to manipulate, visualise and comprehend various aspects of real-world data.
Score: 10.316558 Details | Listing | Web page
This 150 hour course provides students with an opportunity to develop mathematical or statistical research skills to extend and strengthen their understanding of an area of mathematics or statistics.
Score: 10.316558 Details | Listing | Web page
Sampling techniques and designs. Special sampling designs for surveys of animal populations.
Score: 10.316558 Details | Listing | Web page
Data analysis and statistical inference based on permutation methods, EDF methods, bootstrap and resampling methods, kernel methods and Markov chain methods.
Score: 10.316558 Details | Listing | Web page
Detailed study of multivariate methods. Application of multivariate methods, test statistics and distributions.
Score: 10.316558 Details | Listing | Web page
Analysis of sequentially collected data including data modelling and forecasting techniques.
Score: 10.316558 Details | Listing | Web page
Parametric and non-parametric statistical methodologies and algorithms for data mining.
Score: 10.316558 Details | Listing | Web page
STAT319 is a course in Generalised Linear Models (GLM), suited to anyone with an interest in analysing data. In this course we introduce the components of GLM and other advanced data analysis techniques. We use the free-ware package R. R is becoming the preferred computer package for many statisticians. In this course we will show you how to use the package, enter, manipulate and analyse data in R.
Score: 10.316558 Details | Listing | Web page
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Score: 10.316558 Details | Listing | Web page
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Score: 10.316558 Details | Listing | Web page
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Score: 10.316558 Details | Listing | Web page
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Score: 10.316558 Details | Listing | Web page
Independent Course of Study
Score: 10.316558 Details | Listing | Web page
Independent Course of Study
Score: 10.316558 Details | Listing | Web page
Bioinformatics
Score: 10.316558 Details | Listing | Web page
Bioinformatics
Score: 10.316558 Details | Listing | Web page
Probability Theory
Score: 10.316558 Details | Listing | Web page
Probability Theory
Score: 10.316558 Details | Listing | Web page
Multivariate and Financial Time Series
Score: 10.316558 Details | Listing | Web page
Multivariate and Financial Time Series
Score: 10.316558 Details | Listing | Web page