Applied statistics:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston u.a.
Allyn and Bacon
1993
|
| Ausgabe: | 4. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 989 S. graph. Darst. |
| ISBN: | 0205134785 |
Internformat
MARC
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| 245 | 1 | 0 | |a Applied statistics |c John Neter ; William Wasserman ; G. A. Whitmore |
| 250 | |a 4. ed. | ||
| 264 | 1 | |a Boston u.a. |b Allyn and Bacon |c 1993 | |
| 300 | |a XVII, 989 S. |b graph. Darst. | ||
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| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Wirtschaft | |
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| 650 | 4 | |a Management |x Statistical methods | |
| 650 | 4 | |a Social sciences |x Statistical methods | |
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Datensatz im Suchindex
| _version_ | 1804124370842419200 |
|---|---|
| adam_text | Contents
PREFACE xv
INTRODUCTION I
Statistics in Daily Life 1
What is Statistics? 3
Role of Statistics 4
Statistical Computer Packages 4
Cited References 5
UNIT ONE
Data 7
I DATA ACQUISITION AND MANAGEMENT 9
1.1 Data Sets 9
1.2 Data Sources 11
1.3 Experimental and Observational Studies 13
1.4 Data Acquisition 15
1.5 Deficiencies in Data Sets 19
1.6 Computerized Data Management 21
Cited Reference 23
Problems 23
Studies 27
2 DATA PATTERNS 29
2.1 Simple Displays of Quantitative Data 29
2.2 Frequency Distributions 33
2.3 Displays of Qualitative Data 43
2.4 Displays of Bivariate Data 46
2.5 Displays of Multivariate Data 51
2.6 Data Models and Residual Analysis 52
2.7 Misleading Graphic Presentations 54
Cited References 56
Problems 56
Exercise 66
Studies 66
Vl Contents
3 DATA SUMMARY MEASURES 69
3.1 Descriptive Statistics 69
3.2 Measures of Position 71
3.3 Measures of Variability 79
3.4 Measures of Skewness 85
3.5 Standardized Observations 88
3.6 Box Plots 90
3.7 Optional Topic—Calculation of Summary Measures from Frequency
Distributions 92
3.8 Optional Topic—Geometric and Harmonic Means 96
Problems 98
Exercises 104
Studies 105
UNIT TWO
Probability fo7
4 BASIC PROBABILITY CONCEPTS 109
4.1 Random Trials, Sample Spaces, and Events 109
4.2 Probability 115
4.3 Probability Distributions 119
4.4 Basic Probability Theorems 124
4.5 Relationships Between Variables 129
Problems 133
Exercises 140
Studies 141
5 RANDOM VARIABLES 143
5.1 Basic Concepts 143
5.2 Discrete Random Variables 144
5.3 Expected Value and Variance 149
5.4 Standardized Random Variables 151
5.5 Continuous Random Variables 153
Problems 155
Exercises 160
Studies 160
6 ADDITIONAL TOPICS IN PROBABILITY 163
6.1 Bayes Theorem 163
6.2 Functions of Random Variables 167
6.3 Covariance and Correlation 173
6.4 Optional Topic—Calculations for Continuous Random Variables (Calculus
Needed) 178
Problems 180
Contents vjj
Exercises 184
Studies 185
7 COMMON PROBABILITY DISTRIBUTIONS: DISCRETE RANDOM
VARIABLES 187
7.1 Discrete Uniform Probability Distributions 187
7.2 Binomial Probability Distributions 189
7.3 Poisson Probability Distributions 196
7.4 Optional Topic—Hypergeometric Probability Distributions 199
Problems 202
Exercises 205
Studies 206
8 COMMON PROBABILITY DISTRIBUTIONS: CONTINUOUS
RANDOM VARIABLES 209
8.1 Continuous Uniform Probability Distributions 209
8.2 Normal Probability Distributions 211
8.3 Exponential Probability Distributions 221
8.4 Optional Topic—Relation Between Exponential and Poisson
Distributions 225
Problems 228
Exercises 231
Studies 231
UNIT THREE
Estimation and Testing I 233
9 STATISTICAL SAMPLING 235
9.1 Populations 235
9.2 Censuses and Samples 237
9.3 Simple Random Sampling from a Finite Population 241
9.4 Simple Random Sampling from an Infinite Population 245
9.5 Sample Statistics and Population Parameters 248
Problems 251
Exercises 257
Studies 258
I 0 POINT ESTIMATION AND SAMPLING DISTRIBUTION
OF X 259
10.1 Point Estimation 259
10.2 Experimental Study of X _ 261
10.3 Theoretical Results About X 265
10.4 Using the Normal Approximation for X 269
10.5 Exact Sampling Distribution of X 271
Viii Contents
10.6 Criteria for Choosing Point Estimator 272
10.7 Optional Topic—Maximum Likelihood Estimation 277
Problems 281
Exercises 285
Studies 286
11 INTERVAL ESTIMATION OF POPULATION MEAN 289
11.1 Interval Estimation 289
11.2 Confidence Interval for fj,—Large Sample 293
11.3 Confidence Interval for fx—Small Sample 298
11.4 Confidence Interval for Population Total 301
11.5 Planning of Sample Size 302
11.6 Optional Topic—One Sided Confidence Intervals for /jl 305
11.7 Optional Topic—Prediction Interval for New Observation 306
Problems 309
Exercises 313
Studies 313
12 TESTS FOR POPULATION MEAN 315
12.1 Statistical Tests 315
12.2 Construction of Statistical Decision Rules 322
12.3 P Values 330
12.4 Small Sample Tests 335
12.5 Optional Topic—Relation Between Confidence Intervals and Tests
for fi 338
12.6 Optional Topic—Power of Test 339
12.7 Optional Topic—Planning of Sample Size 348
Problems 353
Exercises 361
! Studies 361
I 3 INFERENCES FOR POPULATION PROPORTION 363
13.1 Population and Sample Proportions 363
13.2 Sampling Distributions of /and p 364
13.3 Estimation of Population Proportion 371
13.4 Tests for Population Proportion 374
13.5 Optional Topic—Planning Sample Size for Test About p 376
13.6 Optional Topic—One Sided Confidence Intervals for p 381
13.7 Optional Topic—Inferences for p with Small Sample 382
Problems 384
Exercises 390
Studies 390
I 4 COMPARISONS OF TWO POPULATIONS AND OTHER
INFERENCES 393
14.1 Comparative Studies 393
Contents JX
14.2 Inferences About yn2 ^ —Independent Samples and Completely
Randomized Designs 397
14.3 Inferences About /x2 — fii—Matched Samples and Randomized Block
Designs 404
14.4 Inferences for p2 p —Independent Samples and Completely Randomized
Designs 408
14.5 Optional Topic—Inferences About Population Variance and Ratio of Two
Population Variances 413
Problems 421
Exercises 430
Studies 431
UNIT FOUR
Estimation and Testing II 433
I 5 NONPARAMETRIC PROCEDURES 435
15.1 Inferences About Population Median 435
15.2 Inferences About 072 ~~ Vi—Independent Samples and Completely Randomized
Designs 443
15.3 Inferences About r D—Matched Samples and Randomized Block
Designs 451
15.4 Optional Topic—Test for Randomness 459
15.5 Optional Topic—Jackknife Estimation 463
Problems 467
Exercises 475
Studies 475
I 6 GOODNESS OF FIT 477
16.1 Probability Plots 477
16.2 Chi Square Test 482
16.3 Test Involving Discrete Population Distribution 488
16.4 Test Involving Continuous Population Distribution 489
16.5 Optional Topic—Confidence Band and Test for Cumulative Probability
Function 492
Problems 496
Exercises 500
Studies 501
17 MULTINOMIAL POPULATIONS 503
17.1 Nature of Multinomial Populations 503
17.2 Multinomial Probability Distributions 504
17 .3 Inferences Concerning the Parameters pt 505
17.4 Bivariate Multinomial Populations 510
17.5 Comparisons of Several Multinomial Populations 517
Problems 521
X Contents
Exercises 526
Studies 527
UNIT FIVE
Linear Statistical Models 529
I 8 SIMPLE LINEAR REGRESSION—I 531
18.1 Relation Between Dependent and Independent Variables 531
18.2 Simple Linear Regression Model 534
18.3 Point Estimation of /30 and ft 540
18.4 Point Estimation of Mean Response 544
18.5 Residuals 546
18.6 Analysis of Variance 548
18.7 Coefficients of Simple Determination and Correlation 555
18.8 Computer Output 558
Problems 559
Exercises 563
Studies 564
I 9 SIMPLE LINEAR REGRESSION—II 565
19.1 Confidence Interval for Mean Response 565
19.2 Prediction Interval for New Response 569
19.3 Inferences Concerning fii 574
19.4 Inferences Concerning /30 577
19.5 F Test of /3X = 0 579
19.6 Evaluation of Appropriateness of Regression Model 581
19.7 Remedial Actions When Regression Model Not Appropriate 586
19.8 Practical Considerations in Using Regression Analysis 587
Problems 591
Exercises 597
Studies 597
20 MULTIPLE REGRESSION 599
20.1 Multiple Regression Models 599
20.2 Some Basic Results for Multiple Regression Models 601
20.3 Residual Analysis 608
20.4 F Test for Regression Relation 610
20.5 Inferences Concerning Individual Regression Coefficients 611
20.6 Confidence Interval for E{Yh} 613
20.7 Prediction Interval for Yh(nev/) 614
20.8 Indicator Variables 614
20.9 Modeling Curvilinear Relationships 620
20.10 Modeling Interaction Effects 623
Contents Xi
20.11 Optional Topic—Multicollinearity 627
20.12 Optional Topic—Selecting the Regression Model 632
20.13 Optional Topic—F Test for Several Regression Coefficients 634
Problems 638
Exercises 649
Studies 649
21 ANALYSIS OF VARIANCE 651
21.1 ANOVA Models 651
21.2 Single Factor ANOVA Model 653
21.3 Test for Equality of Treatment Means 655
21.4 Analysis of Treatment Effects 664
21.5 Residual Analysis 668
21.6 Other Types of ANOVA Studies 671
21.7 Optional Topic—Correspondence Between ANOVA and Regression 673
Problems 677
Exercises 683
Studies 683
UNIT SIX
Quality Improvement and Sample Surveys 685
22 QUALITY CONTROL AND QUALITY IMPROVEMENT 687
22.1 Quality and Role of Statistics 687
22.2 Product and Process Design 690
22.3 Assessing Conformance—Control Charts 696
22.4 Assessing Conformance—Acceptance Sampling 710
22.5 Assessing Performance—Reliability 714
Cited References 718
Problems 718
Exercises 726
Studies 727
23 SURVEY SAMPLING 729
23.1 Simple Random Sampling from Finite Populations 729
23.2 Stratified Sampling 733
23.3 Probability Proportional to Size Sampling 739
23.4 Cluster Sampling 741
23.5 Systematic Sampling 743
Problems 744
Exercises 749
Studies 750
Xii Contents
UNIT SEVEN
Time Series Analysis and Index Numbers 751
24 TIME SERIES AND FORECASTING: DESCRIPTIVE
METHODS 753
24.1 Time Series 753
24.2 Smoothing 754
24.3 Time Series Components 757
24.4 Trend Component 760
24.5 Cyclical Component 766
24.6 Seasonal Component 772
24.7 Additive Time Series Model 778
Problems 781
Exercises 789
Studies 790
25 TIME SERIES AND FORECASTING: REGRESSION METHODS
AND EXPONENTIAL SMOOTHING 793
25.1 Regression Models with Independent Error Terms 793
25.2 Regression Models with Autocorrelated Error Terms 799
25.3 Exponential Smoothing for Stationary Time Series 807
25.4 Exponential Smoothing for Time Series with Trend Component 812
25.5 Exponential Smoothing for Time Series with Trend and Seasonal
Components 816
Problems 820
Exercises 829
Studies 829
26 PRICE AND QUANTITY INDEXES 831
26.1 Percent Relatives and Link Relatives 831
26.2 Price Indexes by Method of Weighted Aggregates 833
26.3 Price Indexes by Method of Weighted Average of Relatives 835
26.4 Considerations in Compiling Index Series 837
26.5 Uses of Price Indexes 840
26.6 Quantity Indexes 842
Problems 843
Exercises 848
Studies 848
UNIT EIGHT
Ba/esian Decision Making 851
27 BAYESIAN DECISION MAKING WITHOUT SAMPLE
INFORMATION 853
27.1 Decision Problems 853
Contents Xili
27.2 Decision Making Under Certainty 856
27.3 Decision Making Under Uncertainty 857
27.4 Bayesian Decision Making with Prior Information Only 861
27.5 Multistage Decision Problems 866
27.6 Optional Topic—Utility 868
Problems 874
Exercises 880
Studies 880
28 BAYESIAN DECISION MAKING WITH SAMPLE
INFORMATION 883
28.1 Nature of Decision Problem 883
28.2 Optimal Decision Rule for Given Sample Size 885
28.3 Determination of Optimal Sample Size 890
28.4 Determining Bayes Act by Revision of Prior Probabilities 894
Problems 896
Exercises 900
Studies 900
APPENDIX A: MATHEMATICAL REVIEW 903
APPENDIX B: 2, t, and F DISTRIBUTIONS 909
APPENDIX C: TABLES 921
APPENDIX D: DATA SETS 941
APPENDIX E: BUSINESS MYSTAT MANUAL 953
APPENDIX F: ANSWERS TO SELECTED PROBLEMS 971
INDEX 981
|
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| id | DE-604.BV009995281 |
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| indexdate | 2024-07-09T17:44:36Z |
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| isbn | 0205134785 |
| language | English |
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| physical | XVII, 989 S. graph. Darst. |
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| spelling | Neter, John Verfasser aut Applied statistics John Neter ; William Wasserman ; G. A. Whitmore 4. ed. Boston u.a. Allyn and Bacon 1993 XVII, 989 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistische methoden gtt Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Management Statistical methods Social sciences Statistical methods Statistics Anwendung (DE-588)4196864-5 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Statistik (DE-588)4056995-0 s Anwendung (DE-588)4196864-5 s 1\p DE-604 Wasserman, William Verfasser aut Whitmore, George A. Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006625269&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Neter, John Wasserman, William Whitmore, George A. Applied statistics Statistische methoden gtt Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Management Statistical methods Social sciences Statistical methods Statistics Anwendung (DE-588)4196864-5 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4196864-5 (DE-588)4056995-0 (DE-588)4151278-9 |
| title | Applied statistics |
| title_auth | Applied statistics |
| title_exact_search | Applied statistics |
| title_full | Applied statistics John Neter ; William Wasserman ; G. A. Whitmore |
| title_fullStr | Applied statistics John Neter ; William Wasserman ; G. A. Whitmore |
| title_full_unstemmed | Applied statistics John Neter ; William Wasserman ; G. A. Whitmore |
| title_short | Applied statistics |
| title_sort | applied statistics |
| topic | Statistische methoden gtt Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Management Statistical methods Social sciences Statistical methods Statistics Anwendung (DE-588)4196864-5 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistische methoden Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Management Statistical methods Social sciences Statistical methods Statistics Anwendung Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006625269&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT neterjohn appliedstatistics AT wassermanwilliam appliedstatistics AT whitmoregeorgea appliedstatistics |