Introduction to Statistical Data Analysis for the Life Sciences

Introduction to Statistical Data Analysis for the Life Sciences PDF

Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing.
covers all the usual material but goes further than other texts to emphasize:
Both data analysis and the mathematics …

Link http://sharpbook.net/books/introduction-to-statistical-data-analysis-for-the-life-sciences

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Data Fusion Mathematics: Theory and Practice

Data Fusion Mathematics: Theory and Practice

Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF fusion system is an important component for use in various applications that include the monitoring of vehicles, aerospace systems, large-scale structures, and large industrial automation plants. Dat…

Link http://sharpbook.net/books/data-fusion-mathematics-theory-and-practice