ADVANCED STATISTICS FOR
ANALYTICAL CHEMISTS
1 DAY - IN PERSON AT YOUR LAB
OR 2 HALF DAYS - LIVE ONLINE
A course in advanced statistics, relevant to all professionals in the analytical sciences, life sciences and related fields.
This course is designed for scientists involved in experimental design, decision making and process optimisation. The course shows how to use analysis of variance, randomisation and manipulation of controllable variables to reduce variability, time and cost of design and development.
COURSE OVERVIEW
Who is this course for?
This course is suitable for method developers who wish to use statistical software to improve the development and optimization of methods and to have a greater understanding of the results generated by the techniques.
What you will learn
- Setting method development objectives
- Full Factorial Designs and Screening Designs
- Optimisation of Factors
- Application of Multivariate techniques for complex datasets
Related Content
Statistics for Analytical Chemists
COURSE OUTLINE
Experimental Design and Optimisation
- Introduction
- Scale of method development
- Randomisation and blocking
- Two-way ANOVA
- Latin squares and other designs
- Interactions
- Factorial versus one-at-a-time design
- Factorial design and optimisation
- Optimisation: basic principles and univariate methods
- Optimisation using the alternating variable search method
- The method of steepest ascent
- Simplex optimisation
- Simulated annealing
Multivariate Analysis
- Introduction
- Initial analysis
- Principal component analysis
- Cluster analysis
- Discriminant analysis
- K-nearest neighbour method
- Regression methods
- Multiple linear regression (MLR)
- Principal components regression (PCR)
- Partial least squares (PLS) regression