عنوان

Principles of managerial statistics and data science

شابک

9781119486411

شابک

9781119486428

شابک

9781119486497

شماره

E3719

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Principles of managerial statistics and data science

نام نخستين پديدآور

Roberto Rivera.

محل نشرو پخش و غیره

Hoboken, NJ.

نام ناشر، پخش کننده و غيره

Wiley

تاریخ نشرو بخش و غیره

2020.

نام خاص و کميت اثر

xxiv, 652 p.

ساير جزييات

ill. (some color).

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Statistics suck; so why do I need to learn about it? -- Concepts in statistics -- Data visualization -- Descriptive statistics -- Introduction to probability -- Discrete random variables -- Continuous random variables -- Properties of sample statistics -- Interval estimation for one population parameter -- Hypothesis testing for one population -- Statistical inference to compare parameters from two populations -- Analysis of variance (ANOVA) -- Simple linear regression -- Multiple linear regression -- Inference on association of categorical variables -- Nonparametric testing -- Forecasting.

بدون عنوان

0

متن يادداشت

"This book introduces the topics of Big Data, data analytics and data science and features the use of open source data. Among the statistical topics described in this book are: data visualization, descriptive measures, probability, probability distributions, the concept of mathematical expectation, confidence intervals, and hypothesis testing. Also covered are analysis of variance, simple linear regression, multiple linear regression and diagnostics, extensions to multiple linear regression models, contingency tables, Chi-square tests, non-parametric methods, and time series method. Chapters include multiple examples showing the application of the theoretical aspects presented. In addition, practice problems are designed to ensure that the reader understands the concepts and can apply them using real data. Most data will come from regions throughout the U.S. though some datasets come from Europe and countries around the world. Moreover, open portal data will be the basis for many of the examples and problems, allowing the instructor to adapt the application to local data with which students can identify. An appendix will include solutions to some of these practice problems"--

عنصر شناسه ای

Management

عنصر شناسه ای

Mathematical statistics.

عنصر شناسه ای

Statistical decision.

عنصر شناسه ای

Data mining.

عنصر شناسه ای

Big data.

تقسیم فرعی موضوعی

Statistical methods.

ويراست

شماره رده

نشانه اثر

عنصر شناسه اي

Rivera, Roberto

ساير افزوده هاي نام (غير از تاريخ )

(Associate professor),

کشور

ایران

سازمان

University of Tehran. Library of College of Science

تاريخ عمليات

20191205081746.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

تاريخ و ساعت مذاکره و دسترسي

UT_SCI_BL_DB_1004008_0001.pdf

فرمت انتشار

e

نوع ماده

BL

کد کاربرگه

278840

سطح دسترسي

a

تكميل شده

Y