Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences

摘要: Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges gap between statistical theory and practical analysis by presenting comprehensive set tables all standard models covariance with up to three treatment factors. The will serve as tool help post-graduates professionals define their hypotheses, design appropriate experiments, translate them into model, validate output from statistics packages verify results. systematic layout makes it easy readers identify which types model best fit themes they are investigating, evaluate strengths weaknesses alternative experimental designs. In addition, concise introduction principles provided, alongside worked examples illustrating issues decisions faced analysts. • Pictorial representations designs tabulated descriptions differentiate Worked principal illustrative applications developed through this book, bringing life Chapter on troubleshooting problems, addresses frequently asked questions collection, practicalities interpretation results Contents: Preface; Introduction variance; structures; 1. One-factor designs; 2. Nested 3. Fully replicated factorial 4. Randomised-block 5. Split-plot 6. Repeated- measures 7. Unreplicated Further topics; Choosing How request package; Best practice presentation design; Troubleshooting problems during analysis; Glossary; Bibliography; Index ANOVA factors; Index; Categories model.