by Peter C. Meier and Richard E. Zünd
This new edition continues to provide you with practical information on the use of
statistical methods for solving real-world problems in complex industrial environments.
Statistical Methods in Analytical Chemistry is a thoroughly updated book that clearly
demonstrates how to obtain reliable results by choosing the most appropriate experimental
design and data evaluation methods.
Features
- Covers univariate, bivariate, and multivariate data
- Features case studies from the pharmaceutical and chemical industries demonstrating
typical problems analysts encounter and the techniques used to solve them
- Offers information on ancillary techniques, including a short introduction to
optimization, exploratory data analysis, smoothing and computer simulation, and
recapitulation of error propagation
- Boasts numerous Excel files and compiled Visual Basic programs-no statistical table
lookups required
- Uses Monte Carlo simulation to illustrate the variability inherent in statistically
indistinguishable data sets
- and more!
Contents
- Univariate Data
- Mean and Standard Deviation
- Distributions and the Problem of Small Numbers
- Confidence Limits
- Simulation of a Series of Measurements
- Number of Determinations
- Width of a Distribution
- Charting a Distribution
- Errors of the First and Second Kind
- Bi- and Multivariate Data
- Correlation
- Linear Regression
- Nonlinear Regression
- Multidimensional Data/Visualizing Data
- Related Topics
- GMP Background: Selectivity and Interference/Linearity/Accuracy/Precision/
Reliability/Economic Considerations
- Development, Qualification, and Validation; Installation Qualification, Operations
Qualification, Performance Qualification/Method Development/Method Validation
- Data Treatment Scheme: Data Acquisition/Acceptance Criteria/Data Assembly and
Clean-Up/Data Evaluation/Presentation of Results/Specifications/Records Retention
- Exploratory Data Analysis (EDA)
- Optimization Techniques
- Smoothing and Filtering Data/Box-Car Averaging/Moving Average/Savitzky-Golay Filtering/
CUSUM
- Error Propagation and Numerical Artifacts
- Programs
- Complex Examples
- Nonlinear Fitting
- UV-Assay Cost Structure
- Process Validation
- Regulations and Realities
- Diffusing Vapors
- Stability à la Carte
- Table Press Woes
- Sounding Out Solubility
- Exploring a Data Jungle
- Sifting Through Sieved Samples
- Controlling Cyanide
- Ambiguous Automation
- Mistrusted Method
- Quirks of Quantitation
- Pursuing Propagating Errors
- Content Uniformity
- Arrhenius-Abiding Aging
- Proving Proficiency
- Limits of Nonlinearities
- Zealous Statistical Apprentice
- Complacent Control
- Systems Suitability
- Keeping Track of Dissolving Tablets
- Appendices
- Numerical Approximations to Some Frequently Used Distributions
- Core Instructions Used in Several Programs
- Installation and Use of Programs on Diskette
- Program and Data File Description
Technical Tidbits
Glossary
References
Index
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