Finite Model Theory

This book provides a concise yet comprehensive introduction to finite model theory, the branch of logic studying the properties of logical structures with finite domains. The second edition expands the focus to include descriptive complexity theory, connecting logic with computational complexity. Key topics include Ehrenfeucht–Fraïssé games, 0–1 laws, fixed-point logics, and applications …

Sudden Origins

Edition

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ISBN/ISSN

0-471-37912-3

Collation

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Series Title

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Call Number

576.8/ S 398

Biostatistics: A Foundation for Analysis in the Health Sciences

This classic text offers broad and intuitive coverage of statistical methods commonly used across health science disciplines—ranging from nursing and epidemiology to public health, medicine, and therapy. Emphasizing conceptual understanding over rigorous proofs, the 1998 5th edition integrates computer-based analysis across major statistical packages (e.g., MINITAB, SPSS, SAS). It covers esse…

Encyclopaedia of Animal Diseases

Edition

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ISBN/ISSN

978-81-8356-206-5

Collation

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Series Title

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Call Number

576.983/ K 95

Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data

This comprehensive reference provides in-depth coverage of the theory and practical application of mixture experiment designs. John Cornell presents detailed strategies for constructing mixture designs (such as simplex-lattice and centroid), modeling response surfaces using Scheffé polynomials, and analyzing results with tools like ANOVA, residual analysis, and leverage diagnostics. The third …

Virology

Edition

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ISBN/ISSN

0-471-35151-2

Collation

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Series Title

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Call Number

576.64/A 176

Science

Edition

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ISBN/ISSN

0-02-277435-1

Collation

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Series Title

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Call Number

574/ M 938

Bayesian Statistical Modelling

Bayesian Statistical Modelling provides a comprehensive introduction to the theory and practice of Bayesian inference, particularly as applied to hierarchical and complex models. Peter Congdon presents a wide array of real-world applications using Bayesian methods, emphasizing computational techniques such as Markov Chain Monte Carlo (MCMC). The book is well-suited for statisticians and researc…

MOSBY,S Medical nursing & Dictionary

Edition

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ISBN/ISSN

0-723-43225-2

Collation

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Series Title

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Call Number

610.73/ A 548

Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences

This book provides a practical introduction to statistical methods tailored for students and professionals in the physical sciences. Emphasizing real-world applications over mathematical formalism, Barlow covers key topics such as probability, error analysis, hypothesis testing, and parameter estimation. The text explains statistical techniques in a clear and intuitive way, supported by physics…