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Introduction to probability and statistics : principles and applications for engineering and the computing sciences / J. Susan Milton, Jesse C. Arnold.

By: Contributor(s): Publisher: Boston : McGraw-Hill, c2003Edition: Fourth editionDescription: xvii, 798 pages : illustrations (some colored) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 007246836X
  • 0071198598 [paperback]
Subject(s): DDC classification:
  • 519.5 M64 2003
Online resources:
Contents:
Chapter one Introduction to Probability and Counting -- Chapter two Some Probability Laws -- Chapter three Discrete Distributions -- Chapter four Continuous Distributions -- Chapter five Joint Distributions -- Chapter six Descriptive Statistics -- Chapter seven Estimation -- Chapter eight Inferences on the Mean and Variance of a Distribution -- Chapter nine Inferences on Proportions -- Chapter ten Comparing Two Means and Two Variances -- Chapter eleven Simple Linear Regression and Correlation -- Chapter twelve Multiple Linear Regression Models -- Chapter thirteen Analysis of Variance -- Chapter fourteen Factorial Experiments -- Chapter fifteen Categorical Data -- Chapter sixteen Statistical Quality Control
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Holdings
Item type Current library Call number Status Date due Barcode
Reference Reference College Library General Education 519.5 M64 2003 (Browse shelf(Opens below)) Available 82115
Reference Reference Graduate School Library Annex 519.5 M64 2003 (Browse shelf(Opens below)) Available UC12-000005940

Includes index.

Chapter one Introduction to Probability and Counting -- Chapter two Some Probability Laws -- Chapter three Discrete Distributions -- Chapter four Continuous Distributions -- Chapter five Joint Distributions -- Chapter six Descriptive Statistics -- Chapter seven Estimation -- Chapter eight Inferences on the Mean and Variance of a Distribution -- Chapter nine Inferences on Proportions -- Chapter ten Comparing Two Means and Two Variances -- Chapter eleven Simple Linear Regression and Correlation -- Chapter twelve Multiple Linear Regression Models -- Chapter thirteen Analysis of Variance -- Chapter fourteen Factorial Experiments -- Chapter fifteen Categorical Data -- Chapter sixteen Statistical Quality Control

English

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