Introduction to data analysis with R for forensic scientists / James Michael Curran.
نوع المادة :
نصاللغة: الإنجليزية السلاسل:International forensic science and investigation seriesBoca Raton, FL : CRC Press, 2011وصف:xxii, 309 pages : illustrations ; 25 cmنوع المحتوى:- text
- unmediated
- volume
- 9781138381445
- 1420088262 (hbk. : alk. paper)
- HV8073 .C877 2011
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | حجوزات مادة | |
|---|---|---|---|---|---|---|---|---|
كتاب
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | HV8073 .C877 2011 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000006479 | |||
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كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | HV8073 .C877 2011 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000006478 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
| HV8073 .C633 2016 Blackstone's crime investigators' handbook / | HV8073 .C6924 2012 Crime prevention technologies and applications for advancing criminal investigation / | HV8073 .C6924 2012 Crime prevention technologies and applications for advancing criminal investigation / | HV8073 .C877 2011 Introduction to data analysis with R for forensic scientists / | HV8073 .C877 2011 Introduction to data analysis with R for forensic scientists / | HV8073 .D244 2006 التحريات و الاثبات الجنائي / | HV8073 D53 2011 Disaster victim identification : experience and practice / |
Includes bibliographical references and indexes.
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
The book provides a guide to using statistical methods and the R programming language for analyzing forensic science data. It is designed for researchers, minimizing the focus on heavy theory and instead emphasizing practical applications. The content includes tutorials, real-data examples, and covers topics such as: An introduction to R and basic statistics. Data visualization techniques. Statistical hypothesis testing. The linear model and its extensions. Experimental design.
اضغط على الصورة لمشاهدتها في عارض الصور
طلب مسح ضوئي
