Probability and statistics in the engineering and computing sciences / J.S. Milton, Jesse C. Arnold.
Publication details: Singapore ; Boston ; New york : McGraw-Hill, c2003, 1995, 1990, 1986.Description: xv, 431 p. : ill (some col). ; 26 cmISBN:- 9780071087858
- 519.2 19 MIL
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Course reserves |
|---|---|---|---|---|---|---|---|
Book Closed Access
|
Engineering Library | 519.2 MIL 1 (Browse shelf(Opens below)) | 1 | Available | BUML23080092 |
CONTENT
Chapter 1 : Introduction to probability and counting
1.1 Interpreting probabilities
1.2. Sample spaces and events
Chapter summary pg 8
Exercises pg 9
Chapter 2 : Some probability laws
2.1 Axioms of probability
2.2 Conditional probability
2.3 Independence and the multiplication rule
2.4 Bayes' theorem
Chapter summary pg 24
Exercises pg 25
Chapter 3 : Discrete distributions
3.1 Random Variables
3.2 Discrete probability denstities
3.3 Expectation and distribution parameters
3.4 Binomial distribution
Chapter summary pg49
Exercises pg 50
Review Exercises pg 58
Chapter 4 : Continuous distribution
4.1 Continuous distribution
4.2 Expectation and distribution parameters
4.3 Normal distribution
etc
Chapter summary pg 77
Exercises pg 78
Chapter 5 : Descriptive statistics
5.1 Random sampling
5.2 Picturing the distribution
5.3 Sample statistics
Chapter summary pg 109
Exercises pg116
Chapter 6 : Estimation
6.1 Point estimation
6.2 Functions of Random variables- distribution of x
6.3 Interval estimation and the central limit theorem
Chapter summary pg 129
Exercises pg130
Chapter 7 : Inferences on the mean and variance of a distribution
7.1 Interval estimation of variability
7.2 Estimating the mean and the student-t distribution
7.3 Hypothesis testing
etc
Chapter summary pg 163
Exercise pg 164
Chapter 8 : Inferences on proportion
8.1 Estimating proportion
8.2 Testing hypothesis on a proportion
8.3 Comparing two proportion : estimation
8.4 Comparing two proportion : hypothesis testing
Chapter summary pg197
Exercises 198
Chapter 9 : Comparing two mean and two variance
9.1 .Point estimation : Independent samples
9.2 Comparing variances: the f distributing
9.3 Comparing mean : variances equal (pooled test)
etc
Chapter summary pg227
Exercises 228
Chapter 10 : Simple linear regression and correlation
10. Model and parameter estimation
10.2 Properties of least squares estimation
10.3 Confidence interval estimation and hypothesis testing
etc
Chapter Summary 285
Exercises 286
Chapter 11 : Analysis of variance
11.1 One way classification fixed effect model
11.2 Comparing variance
11.3 Pairwise comparisions
etc
Chapter summary p317
Exercises 318
Chapter 12 : Categorical data
12.1 Multinomial distribution
12.2 Chi-Squared goodness of fit test
12.3 Testing for independence
12.4 Comparing proportion
Chapter summary pg 342
Exercises 343
Index : p. 422-431
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