Q methodology
by Thomas, Dan, MacKeown, Bruce
fromQuantitative applications in the social sciences
The second edition of the first book on Q methodology for social scientists reviews the philosophical foundations of subjective communicability (concourse theory), operant subjectivity, and quantum-theoretical aspects of Q as relevant to the social and behavioral sciences. The a…
This textbook describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. It blends both theory and application to equip the reader with an understanding of the basic principles necessary to …
This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with…
This collection of essays offers a synthesis of foundational studies in Bayesian decision theory and statistics. A key topic is understanding how Bayesian decision making should apply in settings with more than one rational decision maker.
Sensory evaluation techniques
by Meilgaard, Morten, Civille, Gail Vance, Carr, B. Thomas
Advanced undergraduates and graduate students of electrical, chemical, mechanical, and environmental engineering will appreciate this text for a course in systems identification. In addition to the theoretical basis for mathematical modeling, it covers a variety of tried-and-tru…
Intelligent data analysis in science
This text combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov random fields and hidden Markov models, in a clear, thoughtful and succinct manner. The main distinguishing feature of this work is t…
