Common errors in statistics (and how to avoid them):
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
2009
|
| Ausgabe: | 3. ed. |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017609429&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Abstract: | "A straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques ... This book addresses popular mistakes often made in data collection and provides a guide to accurate statistical analysis and reporting"--From publisher's description. |
| Umfang: | XIII, 273 S. graph. Darst. |
| ISBN: | 9780470457986 |
Internformat
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| 245 | 1 | 0 | |a Common errors in statistics (and how to avoid them) |c P. I. Good and J. W. Hardin |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a Hoboken, N.J. |b Wiley |c 2009 | |
| 300 | |a XIII, 273 S. |b graph. Darst. | ||
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Datensatz im Suchindex
| DE-BY-TUM_call_number | 0040 MAT 620f 2011 A 8517 |
|---|---|
| DE-BY-TUM_katkey | 1804890 |
| DE-BY-TUM_location | LSB |
| DE-BY-TUM_media_number | 040071288207 |
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| adam_text |
CONTENTS
PREFACE
xi
PART I FOUNDATIONS
1
1
Sources of Error
3
Prescription,
4
Fundamental Concepts,
5
Ad Hoc, Post Hoc Hypotheses,
7
To Learn More,
11
2
Hypotheses: The Why of Your Research
13
Prescription,
13
What is a Hypothesis?,
14
Found Data,
16
Null Hypothesis,
16
Neyman-Pearson Theory,
17
Deduction and Induction,
21
Losses,
22
Decisions,
23
To Learn More,
25
li
CONTENTS
3
CoUecting Data
27
Preparation,
27
Response Variables,
28
Determining Sample Size,
32
Sequential Sampling,
36
One-Tail or Two?,
37
Fundamental Assumptions,
40
Experimental Design,
41
Four Guidelines,
43
Are Experiments Really Necessary?,
46
To Learn More,
47
PARTII
STATISTICAL ANALYSIS
49
4
Data Quality Assessment
51
Objectives,
52
Review the Sampling Design,
52
Data Review,
53
The Four-Plot,
55
To Learn More,
55
5
Estimation
57
Prevention,
57
Desirable and Not-So-Desirable Estimators,
57
Interval Estimates,
61
Improved Results,
65
Summary,
66
To Learn More,
66
6
Testing Hypotheses: Choosing a Test Statistic
67
First Steps,
68
Test Assumptions,
70
Binomial Trials,
71
Categorical Data,
72
Time-to-Event Data (Survival Analysis),
73
Comparing the Means of Two Sets of Measurements,
76
Comparing Variances,
85
Comparing the Means of
к
Samples,
89
Subjective Data,
91
Independence Versus Correlation,
91
Higher-Order Experimental Designs,
92
Inferior Tests,
96
CONTENTS vü
Multiple Tests,
97
Before You Draw Conclusions,
97
Summary,
99
To Learn More,
99
7
Miscellaneous Statistical Procedures
101
Bootstrap,
102
Bayesian Methodology,
103
Meta-
Analysis,
110
Permutation Tests,
112
To Learn More,
113
PART III REPORTS
115
8
Reporting Your Results
117
Fundamentals,
117
Descriptive Statistics,
122
Standard Error,
127
p- Values,
130
Confidence Intervals,
131
Recognizing and Reporting Biases,
133
Reporting Power,
135
Drawing Conclusions,
135
Summary,
136
To Learn More,
136
9
Interpreting Reports
139
With a Grain of Salt,
139
The Analysis,
141
Rates and Percentages,
145
Interpreting Computer Printouts,
146
To Learn More,
146
10
Graphics
149
The Soccer Data,
150
Five Rules for Avoiding Bad Graphics,
150
One Rule for Correct Usage of Three-Dimensional Graphics,
159
The Misunderstood and Maligned Pie Chart,
161
Two Rules for Effective Display of Subgroup Information,
162
Two Rules for Text Elements in Graphics,
166
Multidimensional Displays,
167
Choosing Graphical Displays,
170
viii CONTENTS
Summary,
172
To Learn More,
172
PART
ГУ
BUILDING A MODEL
175
11
Univariate Regression
177
Model Selection,
178
Stratification,
183
Estimating Coefficients,
185
Further Considerations,
187
Summary,
191
To Learn More,
192
12
Alternate Methods of Regression
193
Linear Versus Non-Linear Regression,
194
Least Absolute Deviation Regression,
194
Errors-in-Variables Regression,
196
Quantile Regression,
199
The Ecological Fallacy,
201
Nonsense Regression,
202
Summary,
202
To Learn More,
203
13 Multivariable
Regression
205
Caveats,
205
Correcting for Confounding Variables,
207
Keep It Simple,
207
Dynamic Models,
208
Factor Analysis,
208
Reporting Your Results,
209
A Conjecture,
211
Decision Trees,
211
Building a Successful Model,
214
To Learn More,
215
14
Modeling Correlated Data
217
Common Sources of Error,
218
Panel Data,
218
Fixed- and Random-Effects Models,
219
Population-Averaged GEEs,
219
Quick Reference for Popular Panel Estimators,
221
To Learn More,
223
CONTENTS ix
15
Validation
225
Objectives,
225
Methods of Validation,
226
Measures of Predictive Success,
229
Long-Term
Stability,
231
To Learn More,
231
GLOSSARY, GROUPED BY RELATED BUT DISTINCT TERMS
233
BIBLIOGRAPHY
237
AUTHOR INDEX
259
SUBJECT INDEX
267 |
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| id | DE-604.BV035553564 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T14:07:56Z |
| institution | BVB |
| isbn | 9780470457986 |
| language | English |
| lccn | 2008047070 |
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| physical | XIII, 273 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Wiley |
| record_format | marc |
| spellingShingle | Good, Phillip I. 1937- Hardin, James W. 1963- Common errors in statistics (and how to avoid them) Statistik Statistics Denkfehler (DE-588)4230931-1 gnd Irrtum (DE-588)4140092-6 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4230931-1 (DE-588)4140092-6 (DE-588)4056995-0 |
| title | Common errors in statistics (and how to avoid them) |
| title_auth | Common errors in statistics (and how to avoid them) |
| title_exact_search | Common errors in statistics (and how to avoid them) |
| title_full | Common errors in statistics (and how to avoid them) P. I. Good and J. W. Hardin |
| title_fullStr | Common errors in statistics (and how to avoid them) P. I. Good and J. W. Hardin |
| title_full_unstemmed | Common errors in statistics (and how to avoid them) P. I. Good and J. W. Hardin |
| title_short | Common errors in statistics (and how to avoid them) |
| title_sort | common errors in statistics and how to avoid them |
| topic | Statistik Statistics Denkfehler (DE-588)4230931-1 gnd Irrtum (DE-588)4140092-6 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistik Statistics Denkfehler Irrtum |
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