By Brian S. Everitt
Entrance disguise; commitment; desk of content material; Preface; 1. a few fundamentals and Describing facts; 2. likelihood; three. Estimation; four. Inference; five. research of Variance versions; 6. Linear Regression types; 7. Logistic Regression and the Generalized Linear version; eight. Survival research; nine. Longitudinal information and Their research; 10. Multivariate information and Their Analysis.
""I imagine that Everitt has been relatively winning. all of the typical subject matters, resembling chance, estimation, speculation trying out, research of variance, and regression, are mentioned. The dialogue is brief, to the purpose, readable, and trustworthy. furthermore, there are the extra 'advanced' themes of logistic regression, survival research, longitudinal facts research, and multivariate research, therefore offering the reader with a brief creation to a big selection of the tools within the statistical arsenal with out getting slowed down intimately. ... a quick, yet stable, creation to stats. ... excellen. Read more...
summary: entrance hide; commitment; desk of content material; Preface; 1. a few fundamentals and Describing facts; 2. chance; three. Estimation; four. Inference; five. research of Variance versions; 6. Linear Regression types; 7. Logistic Regression and the Generalized Linear version; eight. Survival research; nine. Longitudinal information and Their research; 10. Multivariate information and Their Analysis.
""I imagine that Everitt has been particularly winning. the entire general subject matters, similar to chance, estimation, speculation trying out, research of variance, and regression, are mentioned. The dialogue is brief, to the purpose, readable, and trustworthy. additionally, there are the extra 'advanced' themes of logistic regression, survival research, longitudinal information research, and multivariate research, hence delivering the reader with a quick advent to a wide range of the tools within the statistical arsenal with no getting slowed down intimately. ... a short, yet sturdy, advent to statistical data. ... excellen
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Extra info for A Whistle-Stop Tour of Statistics
Case-control studies, quasi-experimental. SuGGESTED READInG Altman, DG (1991) Practical Statistics for Medical Research, Chapman & Hall, London. Daly, F, Hand, DJ, Jones, MC, Lunn, AD and McConway, KJ (1995) Statistics, Addison Wesley, Wokingham. Everitt, BS and Palmer, CR (2010) Encyclopaedic Companion to Medical Statistics, Wiley, Chichester. H. , New York. 1 PRoBABILITy Events: The results of experiments or observations. Compound and simple events need to be distinguished. For example, consider the age of a person, x.
Inter-quartile range: Difference between the first and third quartiles of a sample. Percentile: The Pth percentile of a sample of n observations is that value of the variable with rank (P/100)(1 + n); if this is not an integer, it is rounded to the nearest half rank. Boxplot: A useful graphic for comparing the characteristics of samples of variable values from different populations. Scatterplot: A graphic displaying how two variables are related. indb 17 03/11/11 4:52 PM 18 A Whistle-Stop Tour of Statistics n ∑ (x − x )( y − y ) i Pearson’s correlation coefficient: r = i i =1 n ∑ i =1 n ( xi − x ) 2 ∑ (y − y) i 2 i =1 Spearman’s rho: Pearson’s correlation coefficient based on the ranks of the two variables.
We can therefore infer that the sum of two independent Poisson variables has a Poisson distribution with a parameter equal to the sum of the individual distribution parameters. 8 SuMMARy s n Probability addition rule for mutually exclusive events: E1, E2,…, Em: Pr(E1 or E2 or …Em) = Pr(E1) + Pr(E2) + … + Pr(Em) Relative frequency definition of probability: p = Lim n→∞ Probability multiplication rule for independent events: E1, E2,…, Em: Pr(E1 and E2 and …Em) = Pr(E1) × Pr(E2) × … × Pr(Em) n! (n − r )!