skip to content
Introduction to data analysis for forensic scientists Preview this item
ClosePreview this item
Checking...

Introduction to data analysis for forensic scientists

Author: James Michael Curran
Publisher: Boca Raton, Fla. : CRC ; London : Taylor & Francis [distributor], 2010.
Series: International forensic science and investigation series, 21
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:

An introduction to statistical data analysis techniques with the emphasis on research work in the laboratory. It explains standard data analytical techniques with a relatively low amount of  Read more...

Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Document Type: Book
All Authors / Contributors: James Michael Curran
ISBN: 9781420088267 1420088262
OCLC Number: 620131525
Description: pages.
Contents: Introduction Who is this book for? What this book is not about How to read this book How this book was written Why R? Basic statistics Who should read this chapter? Introduction Definitions Simple descriptive statistics Summarizing data Installing R on your computer Reading data into R The dafs package R tutorial Graphics Who should read this chapter? Introduction Why are we doing this? Flexible versus \canned" Drawing simple graphs Annotating and embellishing plots R graphics tutorial Further reading Hypothesis tests and sampling theory Who should read this chapter? Topics covered in this chapter Additional reading Statistical distributions Introduction to statistical hypothesis testing Tutorial The linear model Who should read this? How to read this chapter Simple linear regression Multiple linear regression Calibration in the simple linear regression case Regression with factors Linear models for grouped data - One way ANOVA Two way ANOVA Unifying the linear model Modeling count and proportion data Who should read this? How to read this chapter Introduction to GLMs Poisson regression or Poisson GLMs The negative binomial GLM Logistic regression or the binomial GLM Deviance The design of experiments Introduction Who should read this chapter? What is an experiment? The components of an experiment The principles of experimental design The description and analysis of experiments Fixed and random effects Completely randomized designs Randomized complete block designs Designs with fewer experimental units Further reading
Series Title: International forensic science and investigation series, 21
Responsibility: by James Michael Curran.
More information:

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


<http://www.worldcat.org/oclc/620131525>
library:oclcnum"620131525"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:creator
schema:datePublished"2010"
schema:exampleOfWork<http://worldcat.org/entity/work/id/506320951>
schema:inLanguage"en"
schema:isPartOf
schema:name"Introduction to data analysis for forensic scientists"@en
schema:publication
schema:publisher
schema:publisher
schema:workExample
umbel:isLike<http://bnb.data.bl.uk/id/resource/GBB056011>
wdrs:describedby

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.