Last edited by Kazirg
Thursday, August 6, 2020 | History

6 edition of Statistical Analysis of Management Data found in the catalog.

Statistical Analysis of Management Data

by Hubert Gatignon

  • 302 Want to read
  • 10 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Business strategy,
  • Management & management techniques,
  • Probability & Statistics - General,
  • Industries - General,
  • Management,
  • Mathematical Statistics,
  • Statistics,
  • Business & Economics,
  • Business / Economics / Finance,
  • Multivariate analysis,
  • Business/Economics,
  • Entrepreneurship,
  • Management - General,
  • Business & Economics / Management,
  • Statistical methods,
  • Commercial statistics,
  • Industrial management

  • The Physical Object
    FormatHardcover
    Number of Pages280
    ID Numbers
    Open LibraryOL9458917M
    ISBN 101402073151
    ISBN 109781402073151

    statistical analysis and data management with a mean CPUE of fish per minute for scenario A and fish per minute for scenario B. Differences between the two techniques are particularly dramatic when no fish are sampled in a series of nets or electrofishing runs. The question then becomes.   Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the book covers /5(5).

    From the book reviews:"The book covers the main statistical techniques that can be used in analyzing management data. Due to its complexity, the book is dedicated to doctoral students, having a good background both in mathematics and in statistics.   An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, health and physical education, medicine, and nutrition. The book is.

      This book shows how equivalent statistical methods can be applied in either SAS or R, enabling users of each software package to learn how to apply the methods in the covers data management, simple statistical procedures, modeling and regression, and graphics.   Statistical analysis is a component of data analytics.. In the context of business intelligence (), statistical analysis involves collecting and scrutinizing every data sample in a set of items from which samples can be drawn.A sample, in statistics, is a representative selection drawn from a total population.. Statistical analysis can be broken down into five discrete steps, as follows:Author: Margaret Rouse.


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Statistical Analysis of Management Data by Hubert Gatignon Download PDF EPUB FB2

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources.

This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the. Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources.

This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the Brand: Springer-Verlag New York. Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields.

The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in. Statistical Analysis - What is it. | SAS. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation.

The book covers many common tasks, such as data /5(10). Statistical Tools and Analysis in Human Resources Management is a critical scholarly resource that presents in-depth details on the application of statistics in every sphere of HR functions for optimal decision-making and analytical solutions.

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Hardcover $ $ 29 $ $ Get it as soon as Wed, Aug Time series analysis and temporal autoregression Moving averages Trend Analysis ARMA and ARIMA (Box-Jenkins) models Spectral analysis 18 Resources Distribution tables Bibliography Statistical Software Test Datasets and data archives Websites File Size: 1MB.

The following book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences, and in particular in high energy particle physics.

Students entering this field do not usually go through a formal course in probability and statistics, despite having been ex­. Statistical Analysis of Hydrologic Variables: and measurements is essential for assessing the performance of water resources infrastructure and its management.

Analyzed data provide valuable insights into the dynamics of hydrological processes that represent the hydrological cycle. This book covers key processes in the hydrological. Statistical Analysis Statistical methods are applied to data to derive patterns, make generalizations, detect trends, and to estimate the uncertainty associated with the data.

Many methods appropriate to work at the USGS, both within and beyond hydrology, can be found in the classic reference book by Helsel and Hirsch, "Statistical Methods in Water Resources.". Statistical Analysis of Medical Data for Inventory Management in a Healthcare System: /ch Statistical analysis is a powerful technique in the field of healthcare that enables drawing meaningful insights from a study in which medical data areAuthor: Esha Saha, Pradip Kumar Ray.

SAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation.

The book covers many common tasks, such as data management, descriptive summaries Cited by: This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research.

The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization.

Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users. Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields.

The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in Brand: Springer US. About this book. Ott and Longnecker's An Introduction to Statistical Methods and Data Analysis, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics.

documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. This edition now covers RStudio, a powerful and easy-to-use interface for R.

It incorporates a number of additional topics, including application program. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences.

The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. This eight-week Data Analysis for Management course equips you with the skills to give your organisation a competitive advantage in any industry by using data to make decisions, extract business insights, and predict future trends.

"Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields."Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields.

The content herein addresses both the underlying mathematics and problems of application.An Introduction to Statistics and Data Analysis Using Stata ®: From Research Design to Final Report provides a step-by-step introduction for statistics, data analysis, or research methods classes using Stata software.

Concise descriptions emphasize the concepts behind statistics rather than the derivations of the formulas.