Understanding Randomness

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4x2 Contingency Table
A01=David S. Salsburg
A01=Salsburg
advanced statistics exercises for scientists
Arcsin Transformation
Armitage's Test
Armitage’s Test
Asymptotic Chi Square Distribution
Author_David S. Salsburg
Author_Salsburg
biostatistics methods
bounds
Category=PBT
Cloud Seeding Experiment
confidence
Contingency Arrays
Contingency Table
data interpretation
Digit Preference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Estimation Dose Response
experimental design
Final Test Statistic
hypothesis
Inverse Hyperbolic Sine
IQ Score
Likelihood Ratio Test Statistic
Modern Languages
Nonparametric Wilcoxon Test
normal
Normal Theory Test
Null Hypothesis
probability distributions
quantitative analysis
ratio
Salsburg David
Sigmoidal Pattern
Sigmoidal Regression
Signed Rank Test Statistic
Small Birth Size
statistical inference
test
theory
Usual Chi Square Test
variance
Viable Macrophage Cells
Vice Versa
wilcoxon
Wilcoxon Signed Rank Test

Product details

  • ISBN 9780824770570
  • Weight: 380g
  • Dimensions: 178 x 254mm
  • Publication Date: 27 Sep 1983
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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This concise, easy-to-follow book stimulates interest and develops proficiency in statistical analysis. Packed full of helpful exercises-covering a wide variety of conditions,random patterns, and simple models-Understanding Randomness presents a logical sequence of study, through practice in interpreting random noise before progressing on toreal life problems ... demonstrates proper applications of numerous techniques throughworked out problems ... facilitates further work in statistics, keyed to standard references. . . and strengthens experience with unexpected results-fundamental for workingwith random events.Understanding Randomness serves as vital supplementary reading for both graduate andundergraduate students of statistics-with a standard statistics course as a prerequisiteandas a primary source for exercises in statistics laboratories. Moreover, it is importantfor industrial and mathematical training courses and society or association seminars, aswell as an invaluable workbook for statisticians, biostatisticians, biometricians, socialscientists concerned with improving their data analysis techniques-or anyone dealingwith evaluation of experimental data!

Salsburg

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