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Signal Transducers and Activators of Transcription (STATs)
The only fully comprehensive reference for STAT proteins and their biology, this book describes the current state of ongoing research in this broad area, and looks toward the future to try to predict the discoveries that lie ahead.
Eco-Stats: Data Analysis in Ecology
This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to mult...
NASA Technical Note
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Formal Techniques for Distributed Systems
This book constitutes the refereed proceedings of the 14th IFIP WG 6.1 International Conference on Formal Methods for Open Object-Based Distributed Systems, FMOODS 2012, and the 32nd IFIP WG 6.1 International Conference on Formal Techniques for Networked and Distributed Systems, FORTE 2012, held in Stockholm, Sweden, in June 2012, as one of the DisCoTec 2012 events. The 16 revised full papers presented were carefully reviewed and selected from 42 submissions. They cover a wide range of topics combining theory and practice in application areas of telecommunication services, Internet, embedded and real-time systems, networking and communication security and reliability, sensor networks, service-oriented architecture, and Web services.
Wisconsin Statutes
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U. S. Army Register
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All of Statistics
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
