Sense and Nonsense of Statistical Inference
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A01=Charmont Wang
Androgyny Research
Author_Charmont Wang
Bayesian analysis techniques
Category=JHBC
Category=PBT
causal inference methods
College GPA
Dose Response Models
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
GPA
Heart Rate Time Series
Held
High Exposure Period
Hite Report
hypothesis testings
Kolmogorov Extension Theorem
misuse of statistical tests in research
National Academy
Neyman Pearson Theory
Non-experimental Sciences
Parkinson's Disease
Parkinson’s Disease
QC Circle
QC Expert
qualitative quantitative analysis
quasi-Inferential statistics
Regression Model
Rubin's Model
Rubin’s Model
scientific methodology critique
Soft Sciences
statistical causality
Statistical Decision Theory
statistical epistemology
Statistical Inference
Statistics Users
Strong Ignorability
time series modeling
Trenton Times
Vice Versa
Yule's Model
Yule’s Model
Product details
- ISBN 9780824787981
- Weight: 589g
- Dimensions: 156 x 234mm
- Publication Date: 16 Dec 1992
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control.
Wang\, Charmont
