Statistics for management and economics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Belmont, Calif.
Thomson/Brooks/Cole - South-Western
© 2005
|
| Ausgabe: | 7. ed., internat. student ed., [ohne CD-ROM] |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XX, 848, [44] S. graph. Darst. 26 cm |
| ISBN: | 0495013390 9780495013396 |
Internformat
MARC
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| 245 | 1 | 0 | |a Statistics for management and economics |c Gerald Keller |
| 250 | |a 7. ed., internat. student ed., [ohne CD-ROM] | ||
| 264 | 1 | |a Belmont, Calif. |b Thomson/Brooks/Cole - South-Western |c © 2005 | |
| 300 | |a XX, 848, [44] S. |b graph. Darst. |c 26 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Management |x Statistical methods | |
| 650 | 4 | |a Economics |x Statistical methods | |
| 650 | 0 | 7 | |a Wirtschaftsstatistik |0 (DE-588)4066517-3 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
| _version_ | 1804138182025936896 |
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| adam_text | APPLICATION BOXES
I Banking
Credit scorecards Histograms to compare credit scores of borrowers who repay and those who default 52
I Finance and Economics
Stock and bond valuation Introduction 40
Return on investment Histograms of two sets of returns to assess expected returns and risk 41
Geometric mean Calculating average returns on an investment over time 96
Mutual funds Marginal and conditional probability relating mutual fund performance
with manager s education 161
Measuring risk Normal distribution to show why the standard deviation is a measure of risk 245
Demand curve Polynomial model to relate price and demand 669
I Human Resource Management
Employee retention Regression analysis to predict which workers will stay on the job 589
Job applicant testing Regression analysis to determine whether testing job applicants is effective 590
Severance pay Multiple regression to judge consistency of severance packages to laid-off worker 643
Performance measure Multiple regression to predict absenteeism 678
I Managerial Accounting
Fixed and variable costs Least squares line to estimate fixed and variable costs 127
!
Marketing j
Pricing Histogram of telephone use 34
Advertising Estimating mean exposure to advertising 320
Consumer survey Inference about market share (p) 393
Test marketing Inference about the difference between two proportions of product purchases 456
Market segmentation Inference about two proportions to determine whether market segments differ 466
Market segmentation Inference about the difference between two means to determine whether two market
segments differ 471
Test marketing Analysis of variance to determine differences between marketing strategies 493
Test marketing Analysis of variance to determine differences between pricing strategies 507
Market segmentation Analysis of variance to determine differences between several segments 507
Market segmentation Chi-squared goodncss-of-fit test to determine relative si/cs of market segments 5C.(,
Market segmentation Chi-squared test of a contingency table to determine whether scvcr.il market
segments differ 574
I Operations Management
PERT/CPM Expected value of the completion time of a proicct 204
Waiting lines Poisson distribution to compute probabilities of arrivals 22K
Inventory management Normal distribution to determine the reorder point 252
PERT/CPM Normal distribution to determine the probability of completing a protect on time 255
Waiting lines Exponential distribution to calculate probabilities of service completions 25K
Inventory management Estimating mean demand during lead time 308
Assembly line balancing Estimating the mean time to complete a task on an assembly line 316
Aggregate production plan Inference about mean productivity 363
Quality Inference about a variance 376
Production design Inference about the difference between the means of asscmblv times 422
Pharmaceutical experiments Inference about the difference between two drugs 464
Location analysis Multiple regression to predict profitability of new locations 629
Learning curve Polynomial model to analyze productivity and iob tenure 670
APPLICATION SECTIONS
Section 4.5 (Optional) Application in Professional Sports Management: Determinants of the Number of Wins
in a Baseball Season (illustrating an application of the least squares method and correlation) 128
Section 7.3 (Optional) Application in Finance: Portfolio Diversification and Asset Allocation (illustrating the laws
of expected value and variance, and covariance) 210
Section 12.4 (Optional) Application in Marketing: Market Segmentation (using inference about a proportion
to estimate the size of a market segment) 393
Section 12.5 (Optional) Application in Accounting: Auditing (using inference about the mean and inference about
a proportion to estimate parameters) 397
Section 15.5 (Optional) Application in Operations Management: Finding and Reducing Variation (using analysis
of variance to actively experiment to find sources of variation) 531
Section 17.5 (Optional) Application in Finance: Market Model (illustrating simple linear regression to estimate
a stock s market-related risk and its firm-specific risk) 606
Section 19.3 (Optional) Human Resources Management: Pay Equity (using multiple regression to determine cases
of discrimination) 678
APPLICATION SUBSECTIONS
Section 6.4 (Optional) Application in Medicine and Medical Insurance: Medical Screening (using Bayes Law
to calculate probabilities after a screening test) 177
Section 19.4 (Optional) Application in Banking: Credit Scorecards (using logistic regression to determine
probabilities of consumers repaying loans) 684
APPLETS
Applet 1 Scatter Diagrams and Correlation 118
Applet 2 Scatter Patterns and Correlation 119
Applet 3 Sampling 153
Applet 4 Normal Distribution Parameters 240
Applet 5 Normal Distribution Areas 244
Applet 6 Student ( Distribution 265
Applet 7 Chi-Squared Distribution 269
Applet 8 F Distribution 274
Applet 9 Fair Dice—I 284
Applet 10 Fair Dice— II 284
Applet 11 Loaded Dice 285
Applet 12 Skewed Dice 285
Applet 13 Normal Approximation to Binomial Probabilities 293
Applet 14 Distribution of Difference Between Means 298
Applet 15 Confidence Interval Estimates of a Mean 313
Applet 16 Power of z Test 353
Applet 17 Plots of Two-Way ANOVA Effects 523
Applet 18 Fitting the Regression 584
Applet 19 Analysis of Regression Deviations 600
CONTENTS
Preface x
Guided Book Tour xii
1 WHAT IS STATISTICS? 1
1.1 Key Statistical Concepts 4
1.2 Statistical Applications in Business 5
1.3 Statistics and the Computer 6
1.4 World Wide Web and Learning Center 7
Appendix 1.A Instructions for the CD-ROM 9
Appendix 1.B Introduction to Microsoft Excel 10
Appendix 1.C Introduction to Minitab 14
O Excel Troubleshooting and Detailed Instructions: Appendix A
O Minitab Detailed Instructions: Appendix B
2 GRAPHICAL AND TABULAR DESCRIPTIVE TECHNIQUES 17
2.1 Types of Data and Information 18
2.2 Graphical and Tabular Techniques for Nominal Data 23
2.3 Graphical Techniques for Interval Data 33
2.4 Describing the Relationship Between Two Variables 52
2.5 Describing Time-Series Data 64
3 ART AND SCIENCE OF GRAPHICAL PRESENTATIONS 73
3.1 Graphical Excellence 74
3.2 Graphical Deception 81
3.3 Presenting Statistics: Written Reports and Oral Presentations 86
4 NUMERICAL DESCRIPTIVE TECHNIQUES 89
4.1 Measures of Central Location 90
4.2 Measures of Variability 99
4.3 Measures of Relative Standing and Box Plots 107
4.4 Measures of Linear Relationship 115
4.5 (optional) AI I LICAl IONS IN PROFESSIONAL Sf OR IS: Bincbull 128
4.6 Comparing Graphical and Numerical Techniques 131
4.7 General Guidelines for Exploring Data 134
v% Approximating Means and Variances from Grouped Data: Appendix C
O Descriptive Techniques Review Exercises: Appendix D
REVIEW OF DESCRIPTIVE TECHNIQUES 139
Contents v
5 DATA COLLECTION AND SAMPLING 141
5.1 Methods of Collecting Data 142
5.2 Sampling 145
5.3 Sampling Plans 147
5.4 Sampling and Nonsampling Errors 152
6 PROBABILITY 155
6.1 Assigning Probability to Events 156
6.2 Joint, Marginal, and Conditional Probability 160
6.3 Probability Rules and Trees 170
6.4 Bayes Law 177
6.5 Identifying the Correct Method 185
«? Counting Formulas: Appendix E
7 RANDOM VARIABLES AND DISCRETE
PROBABILITY DISTRIBUTIONS 192
7.1 Random Variables and Probability Distributions 193
7.2 Bivariate Distributions 203
7.3 (optional) APPLICATIONS IN FINANCE: Portfolio Diversification and
Asset Allocation 210
7.4 Binomial Distribution 216
7.5 Poisson Distribution 223
«? Hypergeometric Distribution: Appendix F
8 CONTINUOUS PROBABILITY DISTRIBUTIONS 233
8.1 Probability Density Functions 234
8.2 Normal Distribution 239
8.3 (optional) Exponential Distribution 256
8.4 Other Continuous Distributions 260
O Continuous Probability Distributions: Calculus Approach: Appendix G
9 SAMPLING DISTRIBUTIONS 277
9.1 Sampling Distribution of the Mean 278
9.2 Sampling Distribution of a Proportion 290
9.3 Sampling Distribution of the Difference Between Two Means 296
9.4 From Here to Inference 299
«? Using the Laws of Expected Value and Variance to Derive the Parameters
of Sampling Distributions: Appendix H
viii Contents
19 MODEL BUILDING 662
19.1 Polynomial Models 663
19.2 Nominal Independent Variables 671
19.3 (optional) APPLICATIONS IN HUMAN RESOURCES:
Pay Equility 678
19.4 (Optional) Logistic Regression 684
19.5 (Optional) Stepwise Regression 691
19.6 Model Building 694
«? Regression and the Analysis of Variance: Appendix V
20 TIME SERIES ANALYSIS AND FORECASTING 698
20.1 Time Series Components 700
20.2 Smoothing Techniques 701
20.3 Trend and Seasonal Effects 710
20.4 Introduction to Forecasting 716
20.5 Forecasting Models 718
«? Index Numbers: Appendix W
21 NONPARAMETRIC STATISTICS 725
21.1 Wilcoxon Rank Sum Test 727
21.2 Sign Test and Wilcoxon Signed Rank Sum Test 738
21.3 Kruskal-WallisTest 751
21.4 Friedman Test 757
21.5 Spearman Rank Correlation Coefficient 763
22 STATISTICAL PROCESS CONTROL 774
22.1 Process Variation 775
22.2 Control Charts 777
22.3 Control Charts for Variables: x and 5 Charts 783
22.4 Control Charts for Attributes: p Chart 796
O Control Charts for Variables: x and R: Appendix X
Contents ix
23 DECISION ANALYSIS 801
23.1 Decision Problem 802
23.2 Acquiring, Using, and Evaluating Additional Information 808
«? Treeplan: Appendix Y
24 STATISTICAL INFERENCE: CONCLUSION 820
24.1 Identifying the Correct Technique: Summary of Statistical
Inference 821
24.2 The Last Word 833
APPENDIX A Data File Sample Statistics A-1
APPENDIX B Tables B-1
1 Binomial Probabilities B-1
2 Poisson Probabilities B-6
3 Normal Probabilities B-8
4 Critical Values of t B-9
5 Critical Values of y7 B-10
6 Critical Values of F B-11
7 Critical Values of the Studentized Range qa(k,v) B-17
8 Critical Values for the Durbin-Watson Statistic B-19
9 Critical Values for the Wilcoxon Rank Sum Test B-21
10 Critical Values for the Wilcoxon Signed Rank Sum Test B-22
11 Critical Values for the Spearman Rank Correlation Coefficient B-23
12 Control Chart Constants B-24
APPENDIX C Answers to Selected Even-Numbered Exercises C-1
INDEX 1-1
|
| adam_txt |
APPLICATION BOXES
I Banking
Credit scorecards Histograms to compare credit scores of borrowers who repay and those who default 52
I Finance and Economics
Stock and bond valuation Introduction 40
Return on investment Histograms of two sets of returns to assess expected returns and risk 41
Geometric mean Calculating average returns on an investment over time 96
Mutual funds Marginal and conditional probability relating mutual fund performance
with manager's education 161
Measuring risk Normal distribution to show why the standard deviation is a measure of risk 245
Demand curve Polynomial model to relate price and demand 669
I Human Resource Management
Employee retention Regression analysis to predict which workers will stay on the job 589
Job applicant testing Regression analysis to determine whether testing job applicants is effective 590
Severance pay Multiple regression to judge consistency of severance packages to laid-off worker 643
Performance measure Multiple regression to predict absenteeism 678
I Managerial Accounting
Fixed and variable costs Least squares line to estimate fixed and variable costs 127
!
Marketing j
Pricing Histogram of telephone use 34
Advertising Estimating mean exposure to advertising 320
Consumer survey Inference about market share (p) 393
Test marketing Inference about the difference between two proportions of product purchases 456
Market segmentation Inference about two proportions to determine whether market segments differ 466
Market segmentation Inference about the difference between two means to determine whether two market
segments differ 471
Test marketing Analysis of variance to determine differences between marketing strategies 493
Test marketing Analysis of variance to determine differences between pricing strategies 507
Market segmentation Analysis of variance to determine differences between several segments 507
Market segmentation Chi-squared goodncss-of-fit test to determine relative si/cs of market segments 5C.(,
Market segmentation Chi-squared test of a contingency table to determine whether scvcr.il market
segments differ 574
I Operations Management
PERT/CPM Expected value of the completion time of a proicct 204
Waiting lines Poisson distribution to compute probabilities of arrivals 22K
Inventory management Normal distribution to determine the reorder point 252
PERT/CPM Normal distribution to determine the probability of completing a protect on time 255
Waiting lines Exponential distribution to calculate probabilities of service completions 25K
Inventory management Estimating mean demand during lead time 308
Assembly line balancing Estimating the mean time to complete a task on an assembly line 316
Aggregate production plan Inference about mean productivity 363
Quality Inference about a variance 376
Production design Inference about the difference between the means of asscmblv times 422
Pharmaceutical experiments Inference about the difference between two drugs 464
Location analysis Multiple regression to predict profitability of new locations 629
Learning curve Polynomial model to analyze productivity and iob tenure 670
APPLICATION SECTIONS
Section 4.5 (Optional) Application in Professional Sports Management: Determinants of the Number of Wins
in a Baseball Season (illustrating an application of the least squares method and correlation) 128
Section 7.3 (Optional) Application in Finance: Portfolio Diversification and Asset Allocation (illustrating the laws
of expected value and variance, and covariance) 210
Section 12.4 (Optional) Application in Marketing: Market Segmentation (using inference about a proportion
to estimate the size of a market segment) 393
Section 12.5 (Optional) Application in Accounting: Auditing (using inference about the mean and inference about
a proportion to estimate parameters) 397
Section 15.5 (Optional) Application in Operations Management: Finding and Reducing Variation (using analysis
of variance to actively experiment to find sources of variation) 531
Section 17.5 (Optional) Application in Finance: Market Model (illustrating simple linear regression to estimate
a stock's market-related risk and its firm-specific risk) 606
Section 19.3 (Optional) Human Resources Management: Pay Equity (using multiple regression to determine cases
of discrimination) 678
APPLICATION SUBSECTIONS
Section 6.4 (Optional) Application in Medicine and Medical Insurance: Medical Screening (using Bayes' Law
to calculate probabilities after a screening test) 177
Section 19.4 (Optional) Application in Banking: Credit Scorecards (using logistic regression to determine
probabilities of consumers' repaying loans) 684
APPLETS
Applet 1 Scatter Diagrams and Correlation 118
Applet 2 Scatter Patterns and Correlation 119
Applet 3 Sampling 153
Applet 4 Normal Distribution Parameters 240
Applet 5 Normal Distribution Areas 244
Applet 6 Student ( Distribution 265
Applet 7 Chi-Squared Distribution 269
Applet 8 F Distribution 274
Applet 9 Fair Dice—I 284
Applet 10 Fair Dice— II 284
Applet 11 Loaded Dice 285
Applet 12 Skewed Dice 285
Applet 13 Normal Approximation to Binomial Probabilities 293
Applet 14 Distribution of Difference Between Means 298
Applet 15 Confidence Interval Estimates of a Mean 313
Applet 16 Power of z Test 353
Applet 17 Plots of Two-Way ANOVA Effects 523
Applet 18 Fitting the Regression 584
Applet 19 Analysis of Regression Deviations 600
CONTENTS
Preface x
Guided Book Tour xii
1 WHAT IS STATISTICS? 1
1.1 Key Statistical Concepts 4
1.2 Statistical Applications in Business 5
1.3 Statistics and the Computer 6
1.4 World Wide Web and Learning Center 7
Appendix 1.A Instructions for the CD-ROM 9
Appendix 1.B Introduction to Microsoft Excel 10
Appendix 1.C Introduction to Minitab 14
O Excel Troubleshooting and Detailed Instructions: Appendix A
O Minitab Detailed Instructions: Appendix B
2 GRAPHICAL AND TABULAR DESCRIPTIVE TECHNIQUES 17
2.1 Types of Data and Information 18
2.2 Graphical and Tabular Techniques for Nominal Data 23
2.3 Graphical Techniques for Interval Data 33
2.4 Describing the Relationship Between Two Variables 52
2.5 Describing Time-Series Data 64
3 ART AND SCIENCE OF GRAPHICAL PRESENTATIONS 73
3.1 Graphical Excellence 74
3.2 Graphical Deception 81
3.3 Presenting Statistics: Written Reports and Oral Presentations 86
4 NUMERICAL DESCRIPTIVE TECHNIQUES 89
4.1 Measures of Central Location 90
4.2 Measures of Variability 99
4.3 Measures of Relative Standing and Box Plots 107
4.4 Measures of Linear Relationship 115
4.5 (optional) AI'I'LICAl IONS IN PROFESSIONAL Sf'OR IS: Bincbull 128
4.6 Comparing Graphical and Numerical Techniques 131
4.7 General Guidelines for Exploring Data 134
v% Approximating Means and Variances from Grouped Data: Appendix C
O Descriptive Techniques Review Exercises: Appendix D
REVIEW OF DESCRIPTIVE TECHNIQUES 139
Contents v
5 DATA COLLECTION AND SAMPLING 141
5.1 Methods of Collecting Data 142
5.2 Sampling 145
5.3 Sampling Plans 147
5.4 Sampling and Nonsampling Errors 152
6 PROBABILITY 155
6.1 Assigning Probability to Events 156
6.2 Joint, Marginal, and Conditional Probability 160
6.3 Probability Rules and Trees 170
6.4 Bayes'Law 177
6.5 Identifying the Correct Method 185
«? Counting Formulas: Appendix E
7 RANDOM VARIABLES AND DISCRETE
PROBABILITY DISTRIBUTIONS 192
7.1 Random Variables and Probability Distributions 193
7.2 Bivariate Distributions 203
7.3 (optional) APPLICATIONS IN FINANCE: Portfolio Diversification and
Asset Allocation 210
7.4 Binomial Distribution 216
7.5 Poisson Distribution 223
«? Hypergeometric Distribution: Appendix F
8 CONTINUOUS PROBABILITY DISTRIBUTIONS 233
8.1 Probability Density Functions 234
8.2 Normal Distribution 239
8.3 (optional) Exponential Distribution 256
8.4 Other Continuous Distributions 260
O Continuous Probability Distributions: Calculus Approach: Appendix G
9 SAMPLING DISTRIBUTIONS 277
9.1 Sampling Distribution of the Mean 278
9.2 Sampling Distribution of a Proportion 290
9.3 Sampling Distribution of the Difference Between Two Means 296
9.4 From Here to Inference 299
«? Using the Laws of Expected Value and Variance to Derive the Parameters
of Sampling Distributions: Appendix H
viii Contents
19 MODEL BUILDING 662
19.1 Polynomial Models 663
19.2 Nominal Independent Variables 671
19.3 (optional) APPLICATIONS IN HUMAN RESOURCES:
Pay Equility 678
19.4 (Optional) Logistic Regression 684
19.5 (Optional) Stepwise Regression 691
19.6 Model Building 694
«? Regression and the Analysis of Variance: Appendix V
20 TIME SERIES ANALYSIS AND FORECASTING 698
20.1 Time Series Components 700
20.2 Smoothing Techniques 701
20.3 Trend and Seasonal Effects 710
20.4 Introduction to Forecasting 716
20.5 Forecasting Models 718
«? Index Numbers: Appendix W
21 NONPARAMETRIC STATISTICS 725
21.1 Wilcoxon Rank Sum Test 727
21.2 Sign Test and Wilcoxon Signed Rank Sum Test 738
21.3 Kruskal-WallisTest 751
21.4 Friedman Test 757
21.5 Spearman Rank Correlation Coefficient 763
22 STATISTICAL PROCESS CONTROL 774
22.1 Process Variation 775
22.2 Control Charts 777
22.3 Control Charts for Variables: x and 5 Charts 783
22.4 Control Charts for Attributes: p Chart 796
O Control Charts for Variables: x and R: Appendix X
Contents ix
23 DECISION ANALYSIS 801
23.1 Decision Problem 802
23.2 Acquiring, Using, and Evaluating Additional Information 808
«? Treeplan: Appendix Y
24 STATISTICAL INFERENCE: CONCLUSION 820
24.1 Identifying the Correct Technique: Summary of Statistical
Inference 821
24.2 The Last Word 833
APPENDIX A Data File Sample Statistics A-1
APPENDIX B Tables B-1
1 Binomial Probabilities B-1
2 Poisson Probabilities B-6
3 Normal Probabilities B-8
4 Critical Values of t B-9
5 Critical Values of y7 B-10
6 Critical Values of F B-11
7 Critical Values of the Studentized Range qa(k,v) B-17
8 Critical Values for the Durbin-Watson Statistic B-19
9 Critical Values for the Wilcoxon Rank Sum Test B-21
10 Critical Values for the Wilcoxon Signed Rank Sum Test B-22
11 Critical Values for the Spearman Rank Correlation Coefficient B-23
12 Control Chart Constants B-24
APPENDIX C Answers to Selected Even-Numbered Exercises C-1
INDEX 1-1 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Keller, Gerald |
| author_GND | (DE-588)133229416 |
| author_facet | Keller, Gerald |
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| building | Verbundindex |
| bvnumber | BV023534396 |
| callnumber-first | H - Social Science |
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| callnumber-search | HD30.215.K45 2005 |
| callnumber-sort | HD 230.215 K45 42005 |
| callnumber-subject | HD - Industries, Land Use, Labor |
| classification_rvk | QH 240 |
| ctrlnum | (OCoLC)615121193 (DE-599)BSZ252338596 |
| dewey-full | 658.4/03322 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/033 22 |
| dewey-search | 658.4/033 22 |
| dewey-sort | 3658.4 233 222 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 7. ed., internat. student ed., [ohne CD-ROM] |
| format | Book |
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| id | DE-604.BV023534396 |
| illustrated | Illustrated |
| index_date | 2024-07-02T22:35:46Z |
| indexdate | 2024-07-09T21:24:07Z |
| institution | BVB |
| isbn | 0495013390 9780495013396 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016854391 |
| oclc_num | 615121193 |
| open_access_boolean | |
| owner | DE-521 |
| owner_facet | DE-521 |
| physical | XX, 848, [44] S. graph. Darst. 26 cm |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Thomson/Brooks/Cole - South-Western |
| record_format | marc |
| spelling | Keller, Gerald Verfasser (DE-588)133229416 aut Statistics for management and economics Gerald Keller 7. ed., internat. student ed., [ohne CD-ROM] Belmont, Calif. Thomson/Brooks/Cole - South-Western © 2005 XX, 848, [44] S. graph. Darst. 26 cm txt rdacontent n rdamedia nc rdacarrier Wirtschaft Management Statistical methods Economics Statistical methods Wirtschaftsstatistik (DE-588)4066517-3 gnd rswk-swf Wirtschaftsstatistik (DE-588)4066517-3 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016854391&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Keller, Gerald Statistics for management and economics Wirtschaft Management Statistical methods Economics Statistical methods Wirtschaftsstatistik (DE-588)4066517-3 gnd |
| subject_GND | (DE-588)4066517-3 |
| title | Statistics for management and economics |
| title_auth | Statistics for management and economics |
| title_exact_search | Statistics for management and economics |
| title_exact_search_txtP | Statistics for management and economics |
| title_full | Statistics for management and economics Gerald Keller |
| title_fullStr | Statistics for management and economics Gerald Keller |
| title_full_unstemmed | Statistics for management and economics Gerald Keller |
| title_short | Statistics for management and economics |
| title_sort | statistics for management and economics |
| topic | Wirtschaft Management Statistical methods Economics Statistical methods Wirtschaftsstatistik (DE-588)4066517-3 gnd |
| topic_facet | Wirtschaft Management Statistical methods Economics Statistical methods Wirtschaftsstatistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016854391&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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