The Practical Guide to Lightcurve Photometry and Analysis provides those with access to even a modest telescope and a CCD camera the background and detailed steps to take part in important astronomical research. Readers learn about the joint projects in which they can take part, as well as the techniques of gathering, analyzing, and then publishing their data. The primary market for this book is amateur astronomers, but undergraduate students will also find its easy going friendly style ideal for help with their studies in this subject. There is of course more to lightcurve photometry than simply taking pictures. For the results to be of value, the data must be gathered and processed in certain ways so that it is both meaningful and can be used by others for analysis. The book contains enough background material (theory) for the reader to understand – and avoid – the pitfalls in the process. More important, there are detailed examples provided for how to obtain data and, for many, the more exciting and rewarding effort of analyzing the data to determine various properties of the object being studied. Under ‘choosing the right software,’ the author looks critically at the commercially-available packages, providing screen shots and useful advice. Amateur astronomers who wants to go beyond mere imaging with a CCD camera will find everything ithat they need in the book to take a step into ‘real’ science.
Designed for busy photographers, this full-color guide cuts through the theory, focusing on the practical information you need to make the best color decisions from…
Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-navigate reference details the use of procedures for fitting LMMs in five popular statistical software packages: SAS, SPSS, Stata, R/S-plus, and HLM.
The authors introduce basic theoretical concepts, present a heuristic approach to fitting LMMs based on both general and hierarchical model specifications, develop the model-building process step-by-step, and demonstrate the estimation, testing, and interpretation of fixed-effect parameters and covariance parameters associated with random effects. These concepts are illustrated through examples using real-world data sets that enable comparisons of model fitting options and results across the software procedures. The book also gives an overview of important options and features available in each procedure.
Making popular software procedures for fitting LMMs easy-to-use, this valuable resource shows how to perform LMM analyses and provides a clear explanation of mixed modeling techniques and theories.
All the theory required for passing the City & Guilds 2391-10 and 2392-10 Certificates is explained in clear, easy to remember language along with sample questions and scenarios as encountered in the exams. The book will also help prepare students on Part P Competent Person courses, City & Guilds 2330 Level 3 courses, NVQs and apprenticeship programmes for their practical inspection and testing exam.