A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes
Review From the reviews: "Presuming no previous background in statistics and described by the author as "demanding" yet "understandable because the material is as intuitive as possible" (p. viii), this certainly would be my choice of textbook if I w
n a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in
Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuitio
Biostatistics with R is designed to mimic the interaction between theory and application in statistics. Most topics are motivated by real examples first, and after discussing a topic, the author shows how it can be applied to the problem that motiva
R Succinctly will introduce you to R, a powerful programming language for statistical work. This book will not turn you into a professional statistician. Instead, it will show you the basic practices in R for analyzing your own data. It will also he
When I began writing this book, I spent quite a bit of time searching for a good quote to start things off. I ended up with two. R is a wonderfully flexible platform and language for exploring, visualizing, and understanding data. I chose the quote
Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Co
While everyone is talking about big data,” the truth is that understanding the little data”the stats that underlie newspaper headlines, stock reports, weather forecasts, and so onis what helps you make smarter decisions at work, at home, and in
This is a book for everyone who is interested in deep learning. Deep learning isn’t just for multinational corporations or large university research departments. The ideas and practical information you’ll find here will work just as well for the ind
Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition。 Learn how to produce predictive models and prepare presentation-quality graphics in record time with Predictive Modeling with SAS Enterpris
Information visualization is a language. Like any language, it can be used for multiple purposes. A poem, a novel, and an essay all share the same language, but each one has its own set of rules. The same is true with information visualization: a pr
This course is concerned with \Mathematical Statistics", i.e., mathematical ideas and tools that are used by statisticians to analyse data. We will study techniques for estimating parameters, tting models, and testing hypotheses. However, as we stud
This is not meant to be an academic tome filled with mathematic minutia and cluttered with statistical mumbo-jumbo. There will need to be an equation now and then, but if your interest is econometric rigour, you’re in the wrong place. A couple of go
Over 90 hands-on recipes for quickly preparing LaTeX documents to solve various challenging tasks Book Descr iption LaTeX is both a word processor and a markup language. It's pretty simple really, which is why its unsurprising that its so popular wi
All sciences of observation follow the same course. One begins by observing a phenomenon, then studies all associated circumstances, and finally, if the results of observation can be expressed numerically [Quetelet's italics], estimates the inten- s
If you were stranded on a desert island with only your laptop (and presumably a large solar panel), what software would you want to have with you? For me the answer definitely includes the latest version of Wolfram Mathematica. Whether you are a sci
