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New Introduction to Multiple Time Series Analysis
This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated,vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis. The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.
Introduction to finite element analysis : A textbook for engineering students
Covers the basic concepts and applications of finite element analysis. It is specifically aimed at introducing this advanced topic to undergraduate-level engineering students and practicing engineers in a lucid manner. It also introduces a structural and heat transfer analysis software FEASTSMT which has wide applications in civil, mechanical, nuclear and automobile engineering domains.
Borrelia burgdorferi : Methods and protocols
Covers the latest advancements and techniques used to understand the fastidious bacterium, Borrelia burgdorferi, and its significance in infectious disorders by combining both conventional and cutting-edge approaches. This book covers diverse topics, including direct detection, diagnostic methods, immune response analysis, alternative model systems, advanced proteomics, social media analysis, and clinical research. It also discusses unconventional wet lab research such as content analysis, the use of ChatGPT, clinical algorithms for chronic Lyme, establishment of a pregnancy Lyme disease biobank, and investigates Lyme in pregnant women. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
