Data management and statistical techniques

By: Myers, RoninMaterial type: TextTextPublication details: UK Ed-tech press 2019Description: 283 pISBN: 9781788821216DDC classification: 330.01595 Summary: Data management and Statistical Analysis Techniques gives an extensive way to deal with multivariate statistical analysis that are critical for scientists in all fields of administration, including money, creation, bookkeeping, advertising, methodology, innovation, and HR. This book is particularly intended to give doctoral students a hypothetical learning of the ideas hidden the most imperative multivariate systems and a diagram of real applications. It offers a reasonable, concise article of every procedure with accentuation on when every method is suitable and how to utilize it. Highlighting various models, the book may fill in as a propelled content or as an asset for connected analysts in industry who need to comprehend the establishments of the strategies especially pertinent and commonly utilized in administration explore, and to figure out how they can be connected utilizing broadly accessible measurable programming.
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Data management and Statistical Analysis Techniques gives an extensive way to deal with multivariate statistical analysis that are critical for scientists in all fields of administration, including money, creation, bookkeeping, advertising, methodology, innovation, and HR. This book is particularly intended to give doctoral students a hypothetical learning of the ideas hidden the most imperative multivariate systems and a diagram of real applications. It offers a reasonable, concise article of every procedure with accentuation on when every method is suitable and how to utilize it. Highlighting various models, the book may fill in as a propelled content or as an asset for connected analysts in industry who need to comprehend the establishments of the strategies especially pertinent and commonly utilized in administration explore, and to figure out how they can be connected utilizing broadly accessible measurable programming.

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