Introduction to Probability and Statistics : (Record no. 20222)

MARC details
000 -LEADER
fixed length control field 03812cam a22002894a 4500
001 - CONTROL NUMBER
control field vtls000003332
003 - CONTROL NUMBER IDENTIFIER
control field VRT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250102224555.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 081221s2003 maua | 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 007246836X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0071198598
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201402040115
Level of effort used to assign nonsubject heading access points VLOAD
Level of effort used to assign subject headings 201007211110
Level of effort used to assign classification malmash
Level of effort used to assign subject headings 200812230812
Level of effort used to assign classification venkatrajand
Level of effort used to assign subject headings 200812211205
Level of effort used to assign classification Noora
-- 200812211204
-- Noora
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA330
Item number .M485 2003
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Milton, J. Susan
Fuller form of name (Janet Susan)
9 (RLIN) 43964
245 10 - TITLE STATEMENT
Title Introduction to Probability and Statistics :
Remainder of title Principles and Applications for Engineering and the Computing Sciences /
Statement of responsibility, etc. J. Susan Milton, Jesse C. Arnold.
250 ## - EDITION STATEMENT
Edition statement 4th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boston :
Name of publisher, distributor, etc. McGraw-Hill,
Date of publication, distribution, etc. c2003.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 798 p. :
Other physical details ill. (some col.) ;
Dimensions 25 cm.
500 ## - GENERAL NOTE
General note Includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction to Probability and Counting 1.1 Interpreting Probabilities 1.2 Sample Spaces and Events 1.3 Permutations and Combinations 2 Some Probability Laws 2.1 Axioms of Probability 2.2 Conditional Probability 2.3 Independence and the Multiplication Rule 2.4 Bayes' Theorem 3 Discrete Distributions 3.1 Random Variables 3.2 Discrete Probablility Densities 3.3 Expectation and Distribution Parameters 3.4 Geometric Distribution and the Moment Generating Function 3.5 Binomial Distribution 3.6 Negative Binomial Distribution 3.7 Hypergeometric Distribution 3.8 Poisson Distribution 4 Continuous Distributions 4.1 Continuous Densities 4.2 Expectation and Distribution Parameters 4.3 Gamma Distribution 4.4 Normal Distribution 4.5 Normal Probability Rule and Chebyshev's Inequality 4.6 Normal Approximation to the Binomial Distribution 4.7 Weibull Distribution and Reliability 4.8 Transformation of Variables 4.9 Simulating a Continuous Distribution 5 Joint Distributions 5.1 Joint Densities and Independence 5.2 Expectation and Covariance 5.3 Correlation 5.4 Conditional Densities and Regression 5.5 Transformation of Variables 6 Descriptive Statistics 6.1 Random Sampling 6.2 Picturing the Distribution 6.3 Sample Statistics 6.4 Boxplots 7 Estimation 7.1 Point Estimation 7.2 The Method of Moments and Maximum Likelihood 7.3 Functions of Random Variables--Distribution of X 7.4 Interval Estimation and the Central Limit Theorem 8 Inferences on the Mean and Variance of a Distribution 8.1 Interval Estimation of Variability 8.2 Estimating the Mean and the Student-t Distribution 8.3 Hypothesis Testing 8.4 Significance Testing 8.5 Hypothesis and Significance Tests on the Mean 8.6 Hypothesis Tests 8.7 Alternative Nonparametric Methods 9 Inferences on Proportions 9.1 Estimating Proportions 9.2 Testing Hypothesis on a Proportion 9.3 Comparing Two Proportions: Estimation 9.4 Coparing Two Proportions: Hypothesis Testing 10 Comparing Two Means and Two Variances 10.1 Point Estimation 10.2 Comparin
520 ## - SUMMARY, ETC.
Summary, etc. This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so that students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science, and include opportunities for real data analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering mathematics.
9 (RLIN) 1201
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science
General subdivision Mathematics.
9 (RLIN) 5846
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilities.
9 (RLIN) 4703
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
9 (RLIN) 2561
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Suppress in OPAC No
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Library Library First Floor 21/12/2024   TA330 .M485 2003 8577 21/12/2024 1 21/12/2024 Books
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