ADVANCED STATISTICS FOR ANALYTICAL CHEMISTS
TRAINING COURSE
This advanced statistics course is relevant to all professionals in the analytical sciences, life sciences and related fields. It is designed for scientists involved in experimental design, decision making and process optimisation.
The training explains how to use analysis of variance, randomisation and manipulation of controllable variables to reduce variability, time and cost of design and development.
This course is ideal 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.
ADVANCED STATISTICS COURSE DETAILS
- Setting method development objectives
- Full Factorial Designs and Screening Designs
- Optimisation of Factors
- Application of Multivariate techniques for complex datasets
We offer flexible delivery options for this instructor-led course:
- On-site: one day at your lab or a location of your choice.
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Online: two half days.
View our online training calendar for upcoming dates.
Previous experience text here.
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Experimental Design and Optimisation
- Introduction
- Scale of method development
- Randomisation and blocking
- Scale of method development
- 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
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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
