Gespeichert in:
Beteilige Person: | |
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Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
London u.a.
Prentice Hall
1997
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Ausgabe: | 1. publ. |
Schlagwörter: | |
Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007888796&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
Umfang: | XIV, 517 S. graph. Darst. |
ISBN: | 0132311194 |
Internformat
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Datensatz im Suchindex
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adam_text | Contents
Contents Pagev
Preface xiii
Further Reading xvi
1 Summary statistics 1
CASE STUDY: The Hartwoods pharmaceutical company 2
CASE STUDY: Spitz Kohl (Market Research) Ltd 2
1.1 Data collection methods 3
1.2 Tabulation of data 6
1.3 Graphical representation 10
1.4 Exercises: tabulation and presentation of data 16
1.5 Averages 17
1.6 Comparison of averages 25
1.7 Exercises: averages 27
1.8 Measures of spread 28
1.9 Interpretation of measures of spread 37
1.10 Comparison of measures of spread 39
1.11 Exercises: measures of spread 40
1.12 Further data analysis methods 42
1.13 Computer applications 45
1.14 Chapter summary 50
1.15 Further exercises 51
2 Probability and Decisions 55
CASE STUDY: The Downbrooks Corporation 56
CASE STUDY: St. Joseph s general hospital 57
v
vi Contents
2.1 Basic probability 57
2.2 Combination of events 58
2.3 Exercises: basic probability 64
2.4 Probability trees 65
2.5 Decision analysis 66
2.6 Expected values 67
2.7 Decision trees 68
2.8 Exercises: decision trees 73
2.9 The binomial distribution 74
2.10 The Poisson distribution 79
2.11 Exercises: binomial and Poisson distributions 81
2.12 Continuous probability distributions 82
2.13 The normal distribution 84
2.14 Exercises: the normal distribution 91
2.15 Confidence limits 92
2.16 Significance and sampling 94
2.17 Hypothesis testing 97
2.18 Exercises: confidence limits and significance 99
2.19 Computer applications 100
2.20 Chapter summary 104
2.21 Further exercises 105
3 Relationships 110
CASE STUDY: The Petlocks cereal company 111
CASE STUDY: The Quick Time Coach company 111
3.1 Illustrating relationships H2
3.2 Linear and non linear relationships H4
3.3 The correlation coefficient H6
3.4 Exercises: correlation 12.1
3.5 Rank correlation 122
3.6 Interpretation of the correlation coefficient 126
3.7 Coefficient of determination 128
3.8 Exercises: rank correlation and significance 129
3.9 Line of best fit I30
3.10 Regression techniques 131
Contents vii
3.11 Exercises: regression methods 137
3.12 Non linear relationships 138
3.13 Multiple regression 142
3.14 Computer applications 144
3.15 Chapter summary 148
3.16 Further exercises 149
4 Financial Mathematics 154
CASE STUDY: The Thornberry bakery company 155
CASE STUDY: Parker Jameson consultancy group 155
4.1 Simple interest 156
4.2 Compound interest 157
4.3 Exercises: simple and compound interest 160
4.4 Annual percentage rate (APR) 161
4.5 Net present value (NPV) 162
4.6 Exercises: APR and present value 165
4.7 Depreciation 166
4.8 Annuities and sinking funds 167
4.9 Exercises: depreciation and annuities 172
4.10 Investment appraisal 172
4.11 Exercises: investment appraisal 176
4.12 Computer applications 177
4.13 Chapter summary 181
4.14 Further exercises 182
5 Index Numbers 185
CASE STUDY: The British American Parts Company Ltd 186
CASE STUDY: The UK government statistics 186
5.1 Simple index numbers 187
5.2 Chain base indices 189
5.3 Indices for grouped data 190
5.4 Weighted aggregates 192
5.5 Exercises: simple and weighted indices 194
5.6 The Laspeyre index 195
5.7 The Paasche index 196
5.8 Comparison of Laspeyre and Paasche indices 198
viii Contents
5.9 Exercises: Laspeyre and Paasche indices 200
5.10 Further index methods 201
5.11 Exercises: further indices 203
5.12 Quantity indices 204
5.13 Exercises: quantity indices 207
5.14 Cost of living indices 208
5.15 Further business indices 211
5.16 Computer applications 212
5.17 Chapter summary 215
5.18 Further exercises 216
6 Forecasting 220
CASE STUDY: The Associated Petroleum Inc 221
CASE STUDY: St. Joseph s general hospital 221
6.1 Elements of a time series 222
6.2 Isolating the trend: regression methods 224
6.3 Isolating the trend: moving averages 225
6.4 Isolating the trend: centred moving averages 229
6.5 Isolating the trend: exponential smoothing 230
6.6 Exercises: isolating the trend 234
6.7 Seasonal variations 236
6.8 Seasonal variations: additive model 237
6.9 Seasonal variations: multiplicative model 245
6.10 Exercises: additive and multiplicative models 249
6.11 Cyclical variation 250
6.12 Irregular variations: errors in forecasting 252
6.13 Performance of forecasting models 255
6.14 Additional forecasting problems 258
6.15 Computer applications 261
6.16 Chapter summary 266
6.17 Further exercises 267
7 Inventory Control 270
CASE STUDY: The CMG car company 271
CASE STUDY: The Littlewoods pharmacy group 271
7.1 Attributes of inventory control 272
Contents ix
7.2 The economic order quantity model 274
7.3 The economic order quantity formula 280
7.4 Exercises: economic order quantity 282
7.5 Quantity discounts 283
7.6 Lead time for deliveries 286
7.7 Running out of stock 287
7.8 Exercises: quantity discounts and lead times 288
7.9 The production order quantity model 288
7.10 Uncertain demand 293
7.11 Exercises: POQ and probabilistic demand 297
7.12 The periodic review model 298
7.13 Exercises: periodic review model 301
7.14 Further inventory management models 302
7.15 Practical issues 304
7.16 Computer applications 307
7.17 Chapter summary 311
7.18 Further exercises 312
8 Linear Programming 315
CASE STUDY: The Stenlux Refrigeration Company 316
CASE STUDY: Wiley Macken Financial Investment Analysts 316
8.1 Formulation of a linear programming problem 317
8.2 Graphical solution 322
8.3 Summary of graphical methods 329
8.4 Maximising and minimising 329
8.5 Special cases 333
8.6 Exercises: graphical methods 337
8.7 The simplex method: maximisation with « constraints 338
8.8 The simplex method: minimisation with 3= constraints 346
8.9 Exercises: simplex method 349
8.10 The transportation problem 350
8.11 Exercises: transportation problem 362
8.12 The unbalanced transportation problem 363
8.13 Maximisation problem 365
8.14 Exercises: maximisation and unbalanced problems 367
8.15 Interpretation of results management issues 368
x Contents
8.16 Computer applications 370
8.17 Chapter summary 374
8.18 Further exercises 375
9 Simulation Techniques 380
CASE STUDY: Support services from the Rednall company 381
CASE STUDY: A risky business The Barings banking affair 382
9.1 Development of simulation models 383
9.2 Random numbers 384
9.3 Use of random numbers in simulation 384
9.4 Simulating demand 387
9.5 Stock control 388
9.6 Running out of stock 390
9.7 Incorporation of costs 391
9.8 Comparison of stock control policies 392
9.9 Exercises: stock control simulations 397
9.10 Queueing problems 398
9.11 Arrival rates 399
9.12 Service patterns 400
9.13 Waiting times 402
9.14 Analysis of costs/revenue 404
9.15 Practical application 405
9.16 Exercises: queuing problems 408
9.17 Simulation of a normal variable 409
9.18 Evaluation of simulation techniques 411
9.19 Computer applications . 412
9.20 Chapter summary 422
9.21 Further exercises 423
10 Project Management 431
CASE STUDY: The Gilford Partners consultancy group 432
CASE STUDY: Refitting the QE2 a problem for Cunard 432
10.1 Networks: activity on arrow notation 433
10.2 Project networks: example 434
10.3 Drawing networks 435
10.4 Dummy activities 438
Contents xi
10.5 Exercises: drawing networks 442
10.6 Time calculations 443
10.7 Critical path analysis 448
10.8 Critical path analysis examples 450
10.9 Exercises: critical path analysis 451
10.10 Floats: definitions 453
10.11 Calculation of floats 454
10.12 Floats in a network: examples 456
10.13 Exercises: floats 458
10.14 Gantt charts 459
10.15 Resource scheduling 460
10.16 Exercises: Gantt charts and resources 463
10.17 Crash costs 464
10.18 Exercises: crashing 468
10.19 Project evaluation and review techniques (PERT) 470
10.20 PERT examples 472
10.21 Exercises: PERT 476
10.22 Networks: alternative method activity on node 477
10.23 Calculation of times 480
10.24 Exercises: activity on node networks 482
10.25 Evaluation of network analysis 483
10.26 Computer applications 484
10.27 Chapter summary 490
10.28 Further exercises 491
Appendix: Basic Mathematics 496
Pecentages, ratios, powers and roots, arithmetic operations, substitution,
simple equations, summation notation
Appendix: Statistical Tables 507
Answers 509
Answers to all odd numbered questions
Index 514
|
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discipline | Mathematik Wirtschaftswissenschaften |
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genre_facet | Lehrbuch |
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illustrated | Illustrated |
indexdate | 2024-12-20T10:17:07Z |
institution | BVB |
isbn | 0132311194 |
language | English |
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physical | XIV, 517 S. graph. Darst. |
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publisher | Prentice Hall |
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spellingShingle | Thomas, Richard Quantitative methods for business studies Bedrijfsstatistiek gtt Commercial statistics Quantitative Methode (DE-588)4232139-6 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd |
subject_GND | (DE-588)4232139-6 (DE-588)4069402-1 (DE-588)4066517-3 (DE-588)4123623-3 |
title | Quantitative methods for business studies |
title_auth | Quantitative methods for business studies |
title_exact_search | Quantitative methods for business studies |
title_full | Quantitative methods for business studies Richard Thomas |
title_fullStr | Quantitative methods for business studies Richard Thomas |
title_full_unstemmed | Quantitative methods for business studies Richard Thomas |
title_short | Quantitative methods for business studies |
title_sort | quantitative methods for business studies |
topic | Bedrijfsstatistiek gtt Commercial statistics Quantitative Methode (DE-588)4232139-6 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd |
topic_facet | Bedrijfsstatistiek Commercial statistics Quantitative Methode Betriebswirtschaftslehre Wirtschaftsstatistik Lehrbuch |
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