By Brian S. Everitt

ISBN-10: 1439877491

ISBN-13: 9781439877494

Entrance disguise; commitment; desk of content material; Preface; 1. a few fundamentals and Describing facts; 2. chance; three. Estimation; four. Inference; five. research of Variance types; 6. Linear Regression versions; 7. Logistic Regression and the Generalized Linear version; eight. Survival research; nine. Longitudinal info and Their research; 10. Multivariate info and Their Analysis.

""I imagine that Everitt has been really winning. the entire ordinary issues, similar to chance, estimation, speculation trying out, research of variance, and regression, are mentioned. The dialogue is brief, to the purpose, readable, and trustworthy. moreover, there are the extra 'advanced' themes of logistic regression, survival research, longitudinal facts research, and multivariate research, hence 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 solid, creation to statistical data. ... excellen. Read more...

summary: entrance disguise; commitment; desk of content material; Preface; 1. a few fundamentals and Describing information; 2. likelihood; three. Estimation; four. Inference; five. research of Variance types; 6. Linear Regression versions; 7. Logistic Regression and the Generalized Linear version; eight. Survival research; nine. Longitudinal facts and Their research; 10. Multivariate info and Their Analysis.

""I imagine that Everitt has been relatively profitable. all of the average themes, comparable to likelihood, estimation, speculation trying out, research of variance, and regression, are mentioned. The dialogue is brief, to the purpose, readable, and trustworthy. moreover, there are the extra 'advanced' subject matters of logistic regression, survival research, longitudinal information research, and multivariate research, hence delivering the reader with a quick creation to a wide range of the equipment within the statistical arsenal with out getting slowed down intimately. ... a quick, yet reliable, creation to stats. ... excellen

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**Additional resources for A Whistle-Stop Tour of Statistics**

**Example text**

435; note the ‘hat’ nomenclature for representing the estimator of a parameter to distinguish it from the parameter itself. , the gender of any person in a queue does not affect, and is not affected by, the gender of the others. 2 SAMPLInG DISTRIBuTIon of ThE MEAn AnD ThE cEnTRAL LIMIT ThEoREM Distribution of the sample mean of samples from a normal distribution: When sampling values of a random variable from a population where the probability density function of the random variable has expected value μ and variance σ2, the mean of the sample values is used to estimate μ.

N − r )! Poisson distribution: Another important probability distribution for a discrete random variable, X, which arises as a limiting form of the binomial distribution as n → ∞ and p → 0 with λ = np is the Poisson distribution: Pr( X = x ) = f ( x ) = λ xe− λ , x = 0,1, 2…, ∞ x! The Poisson distribution is also important in its own right for assigning probabilities to rare events of some sort occurring randomly in time or space. 05? 003 0 1 2 3 4 5 6 7 8 9 Parameters: The terms p in the binomial distribution and λ in the Poisson distribution are parameters of the distributions where a parameter is a quantity that characterizes the associated random variable.

003 0 1 2 3 4 5 6 7 8 9 Parameters: The terms p in the binomial distribution and λ in the Poisson distribution are parameters of the distributions where a parameter is a quantity that characterizes the associated random variable. 3 Probability Density function For a continuous random variable, X, there is an associated probability density function (pdf), f(x), that allows the probability of the variable lying between two values to be calculated, but the probability of X taking any particular value is zero.

### A Whistle-Stop Tour of Statistics by Brian S. Everitt

by Brian

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