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The Gradient Test - Artur Lemonte - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Environmental Data Analysis with MatLab - William Menke - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Environmental Data Analysis with MatLab - William Menke - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. Since publication of the bestselling Environmental Data Analysis with MATLAB®, many advances have been made in environmental data analysis. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often noisy data drawn from a broad range of sources. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios. MATLAB®, a commercial data processing environment, is used in these scenarios. Significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. This new edition, though written in a self-contained way, is supplemented with data and MATLAB® scripts that can be used as a data analysis tutorial. New features include boxed crib sheets to help identify major results and important formulas and give brief advice on how and when they should be used. Numerical derivatives and integrals are derived and illustrated. Includes log-log plots with further examples of their use. Discusses new datasets on precipitation and stream flow. Topical enhancement applies the chi-squared test to the results of the generalized least squares method. New coverage of cluster analysis and approximation techniques that are widely applied in data analysis, including Taylor Series and low-order polynomial approximations; non-linear least-squares with Newton’s method; and pre-calculation and updating techniques applicable to real time data acquisition.

DKK 649.00
1

A Blueprint for Implementing Best Practice Procedures in a Digital Forensic Laboratory - David Lilburn Watson - Bog - Elsevier Science Publishing Co

Data Analysis Methods in Physical Oceanography - Richard E. Thomson - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Systematic Review and Meta-Analysis - - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Synoptic Analysis and Forecasting - Shawn (embry Riddle Aeronautical University Milrad - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Medical Image Analysis - - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Computer Vision for Microscopy Image Analysis - - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Computer Vision for Microscopy Image Analysis - - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts.Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information.Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation.This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection.

DKK 906.00
1

Functional Analysis in Clinical Treatment - - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Functional Analysis - Jill M. (instructor Harper - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Handbook of Statistical Analysis - Gary D. Miner - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Doing Bayesian Data Analysis - Kruschke John - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Doing Bayesian Data Analysis - Kruschke John - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business.

DKK 705.00
1

Highway Safety Analytics and Modeling - Srinivas R. (texas A&m University Geedipally - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Algorithmic Trading Methods - Robert L. (president Kissell - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Quality Assurance Management - Athar Haroon - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Genetic Toxicology Testing - - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Applied Behavior Analysis Advanced Guidebook - - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Microgrids and Methods of Analysis - Hamid Reza Baghaee - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Thermal Stress Analysis of Composite Beams, Plates and Shells - Erasmo Carrera - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Identifying Ignitable Liquids in Fire Debris - Jeanet Hendrikse - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Fundamentals of Brain Network Analysis - Edward (brain Mapping Unit Bullmore - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk

Analysis for Time-to-Event Data under Censoring and Truncation - Huan Wang - Bog - Elsevier Science Publishing Co Inc - Plusbog.dk