عنوان

Applied multivariate statistical analysis /

شابک

3662451700

شابک

3662451719

شابک

9783662451700

شابک

9783662451717

شابک اشتباه

9783662451700

کد کشور

bnb

شماره

b624263

عنوان اصلي

Applied multivariate statistical analysis /

نام عام مواد

[Book]

نام نخستين پديدآور

Wolfgang Karl Härdle, Léopold Simar.

وضعيت ويراست

Fourth edition.

نام خاص و کميت اثر

1 online resource (xiii, 580 pages) :

ساير جزييات

illustrations (some color)

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

I Descriptive Techniques: Comparison of Batches.- II Multivariate Random Variables: A Short Excursion into Matrix Algebra -- Moving to Higher Dimensions -- Multivariate Distributions -- Theory of the Multinormal -- Theory of Estimation -- Hypothesis Testing -- III Multivariate Techniques: Regression Models -- Variable Selection -- Decomposition of Data Matrices by Factors -- Principal Components Analysis -- Factor Analysis -- Cluster Analysis -- Discriminant Analysis -- Correspondence Analysis -- Canonical Correlation Analysis -- Multidimensional Scaling -- Conjoint Measurement Analysis -- Applications in Finance -- Computationally Intensive Techniques -- IV Appendix: Symbols and Notations -- Data.

بدون عنوان

0

متن يادداشت

Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners.℗ℓ It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added.℗ℓ All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumersℓ́ℓ preferences are collected in order to construct models of consumer behavior.℗ℓ All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de The practical exercises include solutions that can be found in H©Þrdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix. 9783662451717

شماره استاندارد بين المللي کتاب و موسيقي

9783662451700

موضوع مستند نشده

Multivariate analysis.

موضوع مستند نشده

Data Interpretation, Statistical.

موضوع مستند نشده

Mathematics.

موضوع مستند نشده

Multivariate Analysis.

موضوع مستند نشده

Business & Economics-- Economics-- Theory.

موضوع مستند نشده

Business & Economics-- Statistics.

موضوع مستند نشده

Economic theory & philosophy.

موضوع مستند نشده

Finance & accounting.

موضوع مستند نشده

Mathematics-- Applied.

موضوع مستند نشده

Mathematics-- Probability & Statistics-- General.

موضوع مستند نشده

Multivariate analysis.

موضوع مستند نشده

Probability & statistics.

موضوع مستند نشده

BUS061000

موضوع مستند نشده

K

موضوع مستند نشده

PBT

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Härdle, Wolfgang

مستند نام اشخاص تاييد نشده

Simar, Léopold

تاريخ عمليات

20201221083422.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y