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Applied Statistics - Principles and Examples

This book should be of interest to senior undergraduate and postgraduate students of applied statistics.;

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Applied Statistics

for a full description of the analysis and interpretation it should be used in parallel with Applied Statistics - Principles and Examples.;

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Applied Statistics

Statistics - Principles and Examples (Cox and Snell, 1981). GENSTAT programs are listed for each of the examples. Most of the data sets are small;

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Applied Statistics - Principles and Examples

both the general principles and important specific techniques of analysis. The book is intended for students interested in statistical methods.;

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Learning from Data

various learning methods from statistics, neural networks, and fuzzy logic can be applied-showing that a few fundamental principles underlie most;

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ISE Principles of Statistics for Engineers and Scientists

and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Applied Statistics for Engineers and Scientists

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;

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Applied Statistics

Applied Statistics presents a thorough treatment of the methods of regression and analysis of variance. The book focuses on conceptual;

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Basic Statistics for Nurses

Designed for undergraduate and graduate nursing students, this text presents the basic principles of statistics as applied in medical;

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Straightforward Statistics

of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these;

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An R Companion for Applied Statistics II

An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;

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Statistics for the Health Sciences

Dancey and Reidy are very well known for their Pearson textbook Statistics Without Maths for Psychology and have applied the same;

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Statistics with JMP

of Applied Economics, Belgium David Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty;

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Applied Statistics for Engineers and Scientists

For courses in Probability and Statistics. This applied text for engineers and scientists, written in a non-theoretical manner, focuses on;

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Applied Statistics I: Basic Bivariate Techniques

examples in SPSS, together with datasets on an accompanying website. A companion study guide reproducing the exercises and examples in R will also;

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Applied Statistics

Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the;

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Nonparametric Econometrics

models, logit-probit and censored models. Nonparametric and semiparametric methods potentially offer considerable reward to applied researchers;

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Nonparametric Econometrics

models, logit-probit and censored models. Nonparametric and semiparametric methods potentially offer considerable reward to applied researchers;

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Applying Social Statistics

principles can be applied to numerous problems in a wide variety of contexts; to answer effectively the question what's it for. A main learning;

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Applying Social Statistics

principles can be applied to numerous problems in a wide variety of contexts; to answer effectively the question 'what's it for.' A main learning;

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Principles of Applied Statistics

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil;

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Principles of Applied Statistics

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil;

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Examples and Problems in Mathematical Statistics

inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.;

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Applied Statistics and Probability for Engineers

-world, engineering-based examples and exercises. Now revised, this Fourth Edition of Applied Statistics and Probability for Engineers features;

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Applied Statistics for Public and Nonprofit Administration

As the first book ever published for public administration statistics courses, APPLIED STATISTICS FOR PUBLIC AND NONPROFIT ADMINISTRATION;

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