By Brian S. Everitt

ISBN-10: 1439877491

ISBN-13: 9781439877494

Entrance hide; 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 facts and Their research; 10. Multivariate facts and Their Analysis.

""I imagine that Everitt has been really winning. the entire normal subject matters, reminiscent of 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' issues of logistic regression, survival research, longitudinal info research, and multivariate research, hence offering the reader with a brief advent to a wide range of the tools within the statistical arsenal with out getting slowed down intimately. ... a quick, yet strong, advent to statistical data. ... excellen. Read more...

summary: entrance hide; 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 info and Their research; 10. Multivariate information and Their Analysis.

""I imagine that Everitt has been particularly winning. the entire usual subject matters, akin to 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 info research, and multivariate research, hence offering 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 strong, creation to statistical data. ... excellen

**Read Online or Download A Whistle-Stop Tour of Statistics PDF**

**Similar probability & statistics books**

**New PDF release: Maths & Stats Mathematical Statistics**

This graduate textbook covers issues in statistical conception crucial for graduate scholars getting ready for paintings on a Ph. D. measure in records. the 1st bankruptcy presents a short evaluation of ideas and ends up in measure-theoretic likelihood idea which are valuable in statistics. the second one bankruptcy introduces a few primary ideas in statistical choice concept and inference.

**Get A Whistle-Stop Tour of Statistics PDF**

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 info and Their research; 10.

**Get Stochastic partial differential equations: six perspectives PDF**

The sector of Stochastic Partial Differential Equations (SPDEs) is without doubt one of the such a lot dynamically constructing parts of arithmetic. It lies on the move component to likelihood, partial differential equations, inhabitants biology, and mathematical physics. the sector is mainly beautiful as a result of its interdisciplinary nature and the large richness of present and power destiny purposes.

**Download PDF by Jordi Vallverdú: Bayesians Versus Frequentists: A Philosophical Debate on**

This ebook analyzes the origins of statistical considering in addition to its comparable philosophical questions, reminiscent of causality, determinism or probability. Bayesian and frequentist ways are subjected to a ancient, cognitive and epistemological research, making it attainable not to in simple terms evaluate the 2 competing theories, yet to additionally discover a strength resolution.

- Identification of Outliers
- Non-Uniform Random Variate Generation
- Statistics II for Dummies (For Dummies (Math & Science))
- The Skew-Normal and Related Families
- Fibonacci's Liber Abaci
- Applied Statistics: Principles and Examples (Chapman & Hall CRC Texts in Statistical Science)

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

**Example text**

Bar chart: A graphic for displaying the frequencies of the categories of a categorical variable. Pie chart: A graphic for displaying the relative frequencies associated with the observed values of a categorical variable. Dotplot: A graphic for displaying quantitative data which are labelled in some way. Histogram: A graphical representation of a frequency distribution table in which class frequencies are represented by the areas of rectangles centred on the class interval. n Mean: x = ∑x i i =1 n Variance: s 2 = 1 n n ∑ (x − x ) i 2 i =1 Range: xmax – xmin.

N. The probability of a head on any toss is ½ as is the probability of a tail. 5)( n −r ) = n! (n − r )! Binomial distribution: The result in the example above can be generalized to a situation where there are n independent trials with the probability of a success on each trial being p, to give what is known as the binomial distribution: f (r ) = n! (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!

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.

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

by Kevin

4.3