Introduction to data analysis with R for forensic scientists / James Michael Curran.

Format:

Book

Author/Creator:

Curran, James Michael.

Series:

International forensic science and investigation series.

International forensic science and investigation series

Language:

English

Subjects (All):

Forensic sciences--Statistical methods.

Forensic sciences.

Forensic statistics.

Forensic sciences--Data processing.

Criminal investigation--Data processing.

Criminal investigation.

R (Computer program language).

Physical Description:

1 online resource (324 p.)

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press, 2010.

Language Note:

English

Summary:

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research.Using traditional techniques and employ

Contents:

Front cover; Dedication; About the author; Acknowledgments; Contents; List of Figures; List of Tables; Chapter 1: Introduction; Chapter 2: Basic statistics; Chapter 3: Graphics; Chapter 4: Hypothesis tests and sampling theory; Chapter 5: The linear model; Chapter 6: Modeling count and proportion data; Chapter 7: The design of experiments; Bibliography; Back cover

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on metadata supplied by the publisher and other sources.

ISBN:

9781040081877

1040081878

9781138381445

1138381446

9780429250217

0429250215

9781420088274

1420088270

OCLC:

678038706