Handbook of Radiotherapy Physics: Theory and Practice (2)

Medical Books

Medicine

CRC Pr I Llc

Surveying and mapping has recently undergone a transition: from discipline-oriented technologies, such as geodesy, surveying, photogrammetry and cartography, to the methodology-oriented integrated discipline of geoinformatics based on GPS positioning, remote sensing, digital photography and GIS for data manipulation and data output. This book presents the required basic background for remote sensing, digital photogrammetry and GIS in the new geoinformatics concept in which the different methodologies must be combined. For remote sensing, the basic fundamentals are the properties of electromagnetic radiation and their interaction with matter. This radiation is received by sensors and platforms in analogue or digital form, and is subject to image processing. In photogrammetry, the stereo-concept is used for the location of information in 3D. With the advent of high-resolution satellite systems in stereo, the theory of analytical photogrammetry restituting 2-D image information into 3D is of increasing importance, merging the remote sensing approach with that of photogrammetry. The result of the restitution is a direct input into geographical information systems in vector or in raster form. The fundamentals of these are described in detail, with an emphasis on global, regional and local applications. For data integration, a short introduction into the GPS Satellite positioning system is added. This textbook will appeal to a wide range of readers, from advanced undergraduates to all professionals in the growing field of geoinformation.

Geoinformation: Remote Sensing, Photogrammetry and Geographical Information Systems

Science & Math

Konecny, Gottfried

Earth Sciences

Emanating from a lifelong career in bridge engineering, this well-illustrated volume is an invaluable reference for students and practitioners involved in the design, construction, maintenance and repair of concrete bridges. Focussing mainly on the structural concept of bridges, Mondorf covers the design criteria of an array of bridges, including slab-and-girder, frame, arch, suspension, single and multispan bridges, as well as the maintenance and aesthetics. For each type, the factors affecting structural design are highlighted and the design requirements are used to demonstrate how project requirements may guide the choice of a design solution. A valuable guide from an established authority, Concrete Bridges will be an asset to any structural engineer, both student and practising.

Concrete Bridges

Engineering & Transportation

Mondorf, Paul E.

Engineering

Having a website built can be a complicated and expensive undertaking. For large businesses this is a necessary expense, but for the ever-increasing number of independents and small businesses, this can easily be handled by the intrepid amateur. In Create Your Own Website Using WordPress in a Weekend, author Alannah Moore draws on her extensive experience to show how, in just a weekend, almost anyone can create a website in WordPress that looks professional and is entirely tailored to their needs and preferences. Through carefully structured step-by-step tutorials, the book takes the reader through every stage of the web design process. It is illustrated with fabulous examples, and features checklists and tips throughout, covering domain registration, planning, plugins, and choosing the right theme.

Create Your Own Website Using Wordpress in a Weekend

Computers & Technology

Moore, Alannah

Web Development & Design

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems.After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife.With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

Practical Statistical Methods: A Sas Programming Approach

Padgett, Lakshmi

Biological Sciences

For medical and investigative professionals, this book presents an overview of medico-legal investigative systems. It examines investigative techniques and procedures that lead to obtaining accurate conclusions of death by homicide, accident or suicide.

Forensic Pathology (Elsevier Series in Practical Aspects of Criminal and Forensic Investigations)

Dominick J. Di Maio

Advances in Fingerprint Technology (Elsevier Series in Forensic and Police Science

Advances in Fingerprint Technology (Elsevier Series in Forensic and Police Science)

Lee, Henry C.

Gaensslen, R. E.

Presents some recent advances in various important domains of partial differential equations and applied mathematics including harmonic maps, liquid crystals, etc... Pitman Research Notes in Mathematics Series 314. Paper.

Progress in Partial Differential Equations: the Metz Surveys 3

Chipot, M.

Mathematics

This is a developing area of modern probability theory, which has applications in many areas. This volume is devoted to the systematic study of results on large deviations in situations where Cramér's condition on the finiteness of exponential moments may not be satisfied

Refined Large Deviation Limit Theorems

Vinogradov, Vladimir

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&amp;T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.

Statistical Models in S

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