Statistics for engineers and scientists:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boston
McGraw-Hill Higher Education
2008
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references (p. 819-821) and index |
| Physical Description: | XVIII, 901 S. graph. Darst. |
| ISBN: | 9780071102223 0071102221 |
Staff View
MARC
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| 100 | 1 | |a Navidi, William |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Statistics for engineers and scientists |c William Navidi |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Boston |b McGraw-Hill Higher Education |c 2008 | |
| 300 | |a XVIII, 901 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references (p. 819-821) and index | ||
| 650 | 4 | |a Bootstrap (Statistics) | |
| 650 | 4 | |a Linear models (Statistics) | |
| 650 | 4 | |a Mathematical statistics |x Simulation methods | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-016536407 | ||
Record in the Search Index
| _version_ | 1804137711511011328 |
|---|---|
| adam_text | CONTENTS
Preface
xi
Acknowledgments of Reviewers
and Contributors
xv
Key Features
xix
Chapter
1
Sampling and Descriptive Statistics
1
Introduction
1
1.1
Sampling
3
1.2
Summary Statistics
13
1.3
Graphical Summaries
25
Chapter
2
Probability
48
Introduction
48
2.1
Basic Ideas
48
2.2
Counting Methods (Optional)
62
2.3
Conditional Probability and
Independence
69
2.4
Random Variables
89
2.5
Linear Functions of Random
Variables
115
2.6
Jointly Distributed Random
Variables (Optional)
125
Chapter
3
Propagation of Error
163
Introduction
163
3.1
Measurement Error
163
3.2
Linear Combinations
of Measurements
169
3.3
Uncertainties for Functions
of One Measurement
179
3.4
Uncertainties for Functions
of Several Measurements
185
Chapter
4
Commonly Used Distributions
199
Introduction
199
4.1
The Bernoulli Distribution
199
4.2
The Binomial Distribution
202
4.3
The
Poisson
Distribution
214
4.4
Some Other Discrete
Distributions
229
4.5
The Normal Distribution
240
4.6
The
Lognormal
Distribution
255
4.7
The Exponential Distribution
261
4.8
Some Other Continuous
Distributions
270
4.9
Some Principles of Point Estimation
(Optional)
279
4.10
Probability Plots
284
4.11
The Central Limit Theorem
289
4.12
Simulation
301
Chapter
5
Confidence Intervals
322
Introduction
322
5.1
Large-Sample Confidence Intervals
for a Population Mean
323
5.2
Confidence Intervals
for Proportions
338
5.3
Small-Sample Confidence Intervals
for a Population Mean
344
5.4
Confidence Intervals for the Difference
Between Two Means
354
vii
viii
Contents
5.5
Confidence Intervals for the Difference
Between Two Proportions
358
5.6
Small-Sample Confidence Intervals
for the Difference Between Two
Means
363
5.7
Confidence Intervals with Paired
Data
370
5.8
Using Simulation to Construct
Confidence Intervals
374
Chapter
6
Hypothesis Testing
391
Introduction
391
6.1
Large-Sample Tests for a Population
Mean
39
1
6.2
Drawing Conclusions from
the Results of Hypothesis Tests
400
6.3
Tests for a Population Proportion
408
6.4
Small-Sample Tests for a Population
Mean
413
6.5
Large-Sample Tests for the Difference
Between Two Means
418
6.6
Tests for the Difference Between
Two Proportions
425
6.7
Small-Sample Tests for the Difference
Between Two Means
430
6.8
Tests with Paired Data
439
6.9
Distribution-Free Tests
444
6.10
The Chi-Square Test
454
6.11
The
F
Test for Equality
of Variance
464
6.12
Fixed-Level Testing
468
6.13
Power
474
6.14
Multiple Tests
483
6.15
Using Simulation to Perform
Hypothesis Tests
487
Chapter
7
Correlation and Simple Linear
Regression
500
Introduction
500
7.1
Correlation
500
7.2
The Least-Squares Line
517
7.3
Uncertainties in the Least-Squares
Coefficients
533
7.4
Checking Assumptions and
Transforming Data
554
Chapter
8
Multiple Regression
585
Introduction
585
8.1
The Multiple Regression Model
585
8.2
Confounding and Collinearity
603
8.3
Model Selection
612
Chapter
9
Factorial Experiments
652
Introduction
652
9.1
One-Factor Experiments
652
9.2
Pairwise Comparisons in One-Factor
Experiments
676
9.3
Two-Factor Experiments
689
9.4
Randomized Complete Block
Designs
714
9.5
2P Factorial Experiments
724
Chapter
10
Statistical Quality Control
754
Introduction
754
10.1
Basic Ideas
754
10.2
Control Charts for Variables
757
10.3
Control Charts for Attributes
777
Contents ix
10.4 The CUSUM Chart 782
10.5
Process Capability
786
Appendix
A: Tables
793
Appendix
В:
Partial Derivatives
817
Appendix C: Bibliography
819
Answers to Odd-Numbered Exercises
822
Index
891
|
| adam_txt |
CONTENTS
Preface
xi
Acknowledgments of Reviewers
and Contributors
xv
Key Features
xix
Chapter
1
Sampling and Descriptive Statistics
1
Introduction
1
1.1
Sampling
3
1.2
Summary Statistics
13
1.3
Graphical Summaries
25
Chapter
2
Probability
48
Introduction
48
2.1
Basic Ideas
48
2.2
Counting Methods (Optional)
62
2.3
Conditional Probability and
Independence
69
2.4
Random Variables
89
2.5
Linear Functions of Random
Variables
115
2.6
Jointly Distributed Random
Variables (Optional)
125
Chapter
3
Propagation of Error
163
Introduction
163
3.1
Measurement Error
163
3.2
Linear Combinations
of Measurements
169
3.3
Uncertainties for Functions
of One Measurement
179
3.4
Uncertainties for Functions
of Several Measurements
185
Chapter
4
Commonly Used Distributions
199
Introduction
199
4.1
The Bernoulli Distribution
199
4.2
The Binomial Distribution
202
4.3
The
Poisson
Distribution
214
4.4
Some Other Discrete
Distributions
229
4.5
The Normal Distribution
240
4.6
The
Lognormal
Distribution
255
4.7
The Exponential Distribution
261
4.8
Some Other Continuous
Distributions
270
4.9
Some Principles of Point Estimation
(Optional)
279
4.10
Probability Plots
284
4.11
The Central Limit Theorem
289
4.12
Simulation
301
Chapter
5
Confidence Intervals
322
Introduction
322
5.1
Large-Sample Confidence Intervals
for a Population Mean
323
5.2
Confidence Intervals
for Proportions
338
5.3
Small-Sample Confidence Intervals
for a Population Mean
344
5.4
Confidence Intervals for the Difference
Between Two Means
354
vii
viii
Contents
5.5
Confidence Intervals for the Difference
Between Two Proportions
358
5.6
Small-Sample Confidence Intervals
for the Difference Between Two
Means
363
5.7
Confidence Intervals with Paired
Data
370
5.8
Using Simulation to Construct
Confidence Intervals
374
Chapter
6
Hypothesis Testing
391
Introduction
391
6.1
Large-Sample Tests for a Population
Mean
39
1
6.2
Drawing Conclusions from
the Results of Hypothesis Tests
400
6.3
Tests for a Population Proportion
408
6.4
Small-Sample Tests for a Population
Mean
413
6.5
Large-Sample Tests for the Difference
Between Two Means
418
6.6
Tests for the Difference Between
Two Proportions
425
6.7
Small-Sample Tests for the Difference
Between Two Means
430
6.8
Tests with Paired Data
439
6.9
Distribution-Free Tests
444
6.10
The Chi-Square Test
454
6.11
The
F
Test for Equality
of Variance
464
6.12
Fixed-Level Testing
468
6.13
Power
474
6.14
Multiple Tests
483
6.15
Using Simulation to Perform
Hypothesis Tests
487
Chapter
7
Correlation and Simple Linear
Regression
500
Introduction
500
7.1
Correlation
500
7.2
The Least-Squares Line
517
7.3
Uncertainties in the Least-Squares
Coefficients
533
7.4
Checking Assumptions and
Transforming Data
554
Chapter
8
Multiple Regression
585
Introduction
585
8.1
The Multiple Regression Model
585
8.2
Confounding and Collinearity
603
8.3
Model Selection
612
Chapter
9
Factorial Experiments
652
Introduction
652
9.1
One-Factor Experiments
652
9.2
Pairwise Comparisons in One-Factor
Experiments
676
9.3
Two-Factor Experiments
689
9.4
Randomized Complete Block
Designs
714
9.5
2P Factorial Experiments
724
Chapter
10
Statistical Quality Control
754
Introduction
754
10.1
Basic Ideas
754
10.2
Control Charts for Variables
757
10.3
Control Charts for Attributes
777
Contents ix
10.4 The CUSUM Chart 782
10.5
Process Capability
786
Appendix
A: Tables
793
Appendix
В:
Partial Derivatives
817
Appendix C: Bibliography
819
Answers to Odd-Numbered Exercises
822
Index
891 |
| any_adam_object | 1 |
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| author_facet | Navidi, William |
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| author_sort | Navidi, William |
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| callnumber-subject | QA - Mathematics |
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| ctrlnum | (OCoLC)76064665 (DE-599)GBV55590489X |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV023352826 |
| illustrated | Illustrated |
| index_date | 2024-07-02T21:05:51Z |
| indexdate | 2024-07-09T21:16:38Z |
| institution | BVB |
| isbn | 9780071102223 0071102221 |
| language | English |
| lccn | 2006036979 |
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| physical | XVIII, 901 S. graph. Darst. |
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| publisher | McGraw-Hill Higher Education |
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| spelling | Navidi, William Verfasser aut Statistics for engineers and scientists William Navidi 2. ed. Boston McGraw-Hill Higher Education 2008 XVIII, 901 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (p. 819-821) and index Bootstrap (Statistics) Linear models (Statistics) Mathematical statistics Simulation methods Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s DE-604 Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016536407&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Navidi, William Statistics for engineers and scientists Bootstrap (Statistics) Linear models (Statistics) Mathematical statistics Simulation methods Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 |
| title | Statistics for engineers and scientists |
| title_auth | Statistics for engineers and scientists |
| title_exact_search | Statistics for engineers and scientists |
| title_exact_search_txtP | Statistics for engineers and scientists |
| title_full | Statistics for engineers and scientists William Navidi |
| title_fullStr | Statistics for engineers and scientists William Navidi |
| title_full_unstemmed | Statistics for engineers and scientists William Navidi |
| title_short | Statistics for engineers and scientists |
| title_sort | statistics for engineers and scientists |
| topic | Bootstrap (Statistics) Linear models (Statistics) Mathematical statistics Simulation methods Statistik (DE-588)4056995-0 gnd |
| topic_facet | Bootstrap (Statistics) Linear models (Statistics) Mathematical statistics Simulation methods Statistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016536407&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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