Statistics with Stata : updated for version 12 / by Lawrence C. Hamilton, University of New Hampshire.

By: Hamilton, Lawrence CMaterial type: TextTextPublication details: New York : Cengage Learning, 2013cDescription: xii, 473 pages : ill. ; 24 cmISBN: 978111580728 (pbk); 1111580723 (pbk.)Subject(s): Stata | Mathematical statistics -- Data processingDDC classification: 005.5
Contents:
CHAPTER 1: Stata and stata resources --------------------- CHAPTER 2: Data Management --------------------- CHAPTER 3: Graphs ---------------------- CHAPTER 4: Survey data ---------------------- CHAPTER 5: Summary statistics and tables ---------------------- CHAPTER 6: ANOVA -------------------------- CHAPTER 7: Linear regression analysis --------------------- CHAPTER 8: Advanced regression methods -------------------------- CHAPTER 9: Logistic regression ---------------------- CHAPTER 10: Survival and event count models ---------------------- CHAPTER 11: Principal component, factor and cluster analysis ---------------------- CHAPTER 12: Time series analysis --------------------- CHAPTER 13: Multilevel and mixed effects analysis ----------------------- CHAPTER 14: Introduction to programming -----------------------
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Namal Library
Computer Science 		005.5 HAM-S 2013 3110 (Browse shelf (Opens below)) Available 0003110
Books Books Namal Library
Computer Science 		005.5 HAM-S 2013 6486 (Browse shelf (Opens below)) c.2 Available 0006486
Total holds: 0

Includes bibliographical references (pages 461-467) and index.

CHAPTER 1: Stata and stata resources ---------------------
CHAPTER 2: Data Management ---------------------
CHAPTER 3: Graphs ----------------------
CHAPTER 4: Survey data ----------------------
CHAPTER 5: Summary statistics and tables ----------------------
CHAPTER 6: ANOVA --------------------------
CHAPTER 7: Linear regression analysis ---------------------
CHAPTER 8: Advanced regression methods --------------------------
CHAPTER 9: Logistic regression ----------------------
CHAPTER 10: Survival and event count models ----------------------
CHAPTER 11: Principal component, factor and cluster analysis ----------------------
CHAPTER 12: Time series analysis ---------------------
CHAPTER 13: Multilevel and mixed effects analysis -----------------------
CHAPTER 14: Introduction to programming -----------------------

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