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            Probability & Statistics

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            Statistics is Easy: Case Studies on Real Scientific Datasets
              

            Statistics is Easy: Case Studies on Real Scientific Datasets (Hardback)

            By Katari, Manpreet Singh; Tyagi, Sudarshini; Shasha, Dennis

            • RRP: $147.99
            • $85.93
            • Save $62.06
            • In Stock US

            Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement. Drawing conclusions in the face of such noise entails a statistical analysis. Parametric statistical methods assume that the data is a sample... from a population that can be characterized by a specific distribution (e.g., a normal distribution). When the assumption is true, parametric approaches can lead to high confidence predictions. However, in many cases particular distribution assumptions do not hold. In that case, assuming a distribution may yield false conclusions. The companion book Statistics is Easy! gave a (nearly) equation-free introduction to nonparametric (i.e., no distribution assumption) statistical methods. The present book applies data preparation, machine learning, and nonparametric statistics to three quite different life science datasets. We provide the code as applied to each dataset in both R and Python 3. We also include exercises for self-study or classroom use.
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            ISBN 9781636390918
            Released NZ 30 Apr 2021
            Publisher Morgan & Claypool Publishers
            Interest Age General Audience
            Series Synthesis Lectures on Mathematics and Statistics
            Availability
            Internationally sourced; ships 6-14 working days
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            Econometrics in Practice
             

            Econometrics in Practice (Hardback)

            By Turner, Paul

            • RRP: $295.50
            • $176.54
            • Save $118.96
            • Backorder UK

            This book covers the econometric methodsnecessary for a practicing applied economist or data analyst. This requiresboth an understanding of statistical theory and how it is used in actual applications. Chapters 1 to 9 present the material concerned with basic statistical theory. ...Chapters 10 to 13 introduce a number of topics which form the basis of more advanced option modules, such as time series methods in applied econometrics. To get the most out of these topics, companion files include Excel datasets and 4-color figures. It includes pull down menus to graph the data, calculate sample statistics and estimate regression equations. FEATURES: Integration of econometrics methods with statistical foundations Worked examples of all models considered in the text Includes Excel datasheets to facilitate estimation and application of models Features instructor ancillaries for use as atextbook
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            ISBN 9781683926603
            Released NZ 30 Apr 2021
            Publisher Mercury Learning & Information
            Interest Age 19+ years
            Availability
            Internationally sourced (on backorder); allow 4-8 weeks
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