Titlebook: Statistical Analysis and Data Display; An Intermediate Cour Richard M. Heiberger,Burt Holland Book 20041st edition Springer Science+Busines

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Statistics Concepts,The quality of inferences are commonly conveyed by probabilities. Therefore, before discussing inferential techniques later in this chapter, we briefly digress to discuss . in this section and . in Section 3.2.

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Introductory Inference,In this chapter we discuss selected topics and issues dealing with statistical inferences from samples to populations, building upon the brief introduction to these ideas in Chapter 3. The discussion here is at an intermediate technical level and at a speed appropriate for review of material learned in the prerequisite course.

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,Multiple Regression—More Than One Predictor,In Chapter 8 we introduce the algebra and geometry behind the fitting of a linear model relating a response variable to one or more explanatory (predictor) variables using the criterion of least squares. In this chapter we consider in more detail situations where there are two or more predictors.

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,Bivariate Statistics—Discrete Data,In this chapter we discuss bivariate discrete distributions. Bivariate means that there are two factors (categorical variables) defining cells. The response values are frequencies, that is, counts or instances of observations, at each cell.

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Time Series Analysis,Time series analysis is the technique used to study observations that are measured over time. Examples include natural phenomena (temperature, humidity, wind speed) and business variables (price of commodities, stock market indices) that are measured at regular intervals (hourly, daily).

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Richard M. Heiberger,Burt HollandProvides and discusses S-PLUS, R, and SAS executable functions and macros for all new graphical display formats.All graphs and tabular output in the book were constructed using these programs

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