Innovative trend methodologies in science and engineering

This book covers all types of literature on existing trend analysis approaches, but more than 60% of the methodologies are developed here and some of them are reflected to scientific literature and others are also innovative versions, modifications or improvements. The suggested methodologies help t...

Full description

Saved in:
Bibliographic Details
Main Author: Şen, Zekâi, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Subjects:
Mathematical statistics.
Technological innovations.
elektronické knihy
electronic books
ISBN: 9783319523385
9783319523378
Physical Description: 1 online resource

Cover

Table of contents

LEADER 06050cam a2200445Ii 4500
001 98783
003 CZ-ZlUTB
005 20201201190613.0
006 m o d
007 cr cnu|||unuuu
008 170207s2017 sz ob 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d EBLCP  |d GW5XE  |d IDEBK  |d N$T  |d YDX  |d OCLCF  |d NJR  |d UAB  |d COO  |d STF  |d IOG  |d MERER  |d ESU  |d Z5A  |d JG0  |d OCLCQ  |d JBG  |d IAD  |d ICW  |d ICN  |d OTZ  |d OCLCQ  |d AZU  |d UPM  |d VT2  |d U3W  |d OCLCQ  |d CAUOI  |d KSU  |d WYU  |d AU@  |d OCLCQ  |d HUELT  |d UKMGB  |d UKAHL  |d OCLCQ 
020 |a 9783319523385  |q (electronic bk.) 
020 |z 9783319523378 
024 7 |a 10.1007/978-3-319-52338-5  |2 doi 
035 |a (OCoLC)971542231  |z (OCoLC)971595701  |z (OCoLC)971934431  |z (OCoLC)972127667  |z (OCoLC)972208373  |z (OCoLC)981774792  |z (OCoLC)1011849433  |z (OCoLC)1048141799  |z (OCoLC)1082098673 
100 1 |a Şen, Zekâi,  |e author. 
245 1 0 |a Innovative trend methodologies in science and engineering /  |c Zekâi Şen. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
505 0 |a Preface; Contents; 1 Introduction; Abstract; 1.1 General; 1.2 Trend Definition and Analysis; 1.2.1 Conceptual and Visual Trends; 1.2.2 Mathematical Trend; 1.2.3 Statistical Trend; 1.3 Trend in Some Disciplines; 1.3.1 Atmospheric Sciences; 1.3.2 Environmental Sciences; 1.3.3 Earth Sciences; 1.3.4 Engineering; 1.3.5 Global Warming; 1.3.6 Climate Change; 1.3.7 Social Sciences; 1.3.7.1 Economy; 1.3.7.2 Business; 1.3.7.3 Health; 1.4 Pros and Cons of Trend Analysis; 1.5 Future Research Directions; 1.6 Purpose of This Book; References; 2 Uncertainty and Time Series; Abstract; 2.1 General. 
505 8 |a 2.2 Random and Randomness2.3 Empirical Frequency and Distribution Function; 2.3.1 Empirical Frequency and Trend; 2.4 Theoretical Probability Distribution Function (Pdf); 2.5 Statistical Modeling; 2.5.1 Deterministic-Uncertain Model; 2.5.2 Probabilistic-Statistical Model; 2.5.3 Transitional Probability Model; 2.6 Stochastic Models; 2.6.1 Homogeneity (Consistency); 2.6.2 Stationarity; 2.6.3 Periodicity (Seasonality); 2.6.3.1 Known Period Case; 2.7 Time Series Truncation; 2.7.1 Statistical Truncations; 2.8 Data Smoothing; 2.8.1 Moving Averages; 2.8.2 Difference Smoothing; 2.9 Jump (Shift). 
505 8 |a 2.10 Correlation Coefficients2.10.1 Pearson Correlation Coefficient; 2.10.2 Kendall Correlation Coefficient; 2.10.3 Spearman Correlation Coefficient; 2.11 Persistence/Nonrandomness; 2.11.1 Short-Memory (Correlation) Components; 2.11.2 Long-Memory (Persistence) Component; 2.11.2.1 Rescaled Range and Hurst Phenomenon; References; 3 Statistical Trend Tests; Abstract; 3.1 General; 3.2 Nonparametric Tests; 3.2.1 Data Ordering (Ranks); 3.3 Statistical Tests; 3.3.1 Wald-Wolfowitz; 3.3.2 Sign Test; 3.3.3 Sign Difference Test; 3.3.4 Run Test; 3.3.5 Mann-Whitney (MW) Test. 
505 8 |a 3.3.6 Kruskal-Wallis (KW) Test3.3.7 Nonparametric Correlation Coefficient; 3.3.8 Spearman's Rho Test of Trend; 3.3.9 Turning Point Test; 3.3.10 Mann-Kendall (MK) Test; 3.3.10.1 Mann-Kendall Trend Search; 3.3.10.2 Sen Slope Estimator; 3.3.10.3 Spearman's Tau; 3.3.10.4 Regression Trend; 3.3.11 Two-Sample Wilcoxon Test; 3.3.11.1 Signed-Wilcoxon Test; 3.3.11.2 Wilcoxon Signed Rank Test; 3.3.12 von Neuman Test; 3.3.13 Cumulative Departures Test; 3.3.13.1 Cumulative Deviations; 3.3.14 Bayesian Test; 3.3.15 Relative Error Test; 3.3.16 t Test; 3.3.17 Cramer Test; 3.3.18 F Test; 3.3.19 Truncation Test. 
505 8 |a 3.3.20 Deviations Test3.3.21 Subtraction Test; 3.3.22 Şen Autorun Test; 3.3.23 Seasonal Kendall Test; 3.4 Unit Root Model Trend Determination; 3.4.1 Integration and Dickey-Fuller (DF) Test; 3.4.2 The Kwiatkowski, Phillips, Schmidt, and Shin Test; 3.4.3 Critical Values of the KPSS Test; 3.4.4 Empirical Power of the KPSS; 3.4.5 Example: Comparison of the DF and KPSS Tests for Several Macro-Economic Time Series; 3.4.5.1 Test of Stationarity Around Mean; 3.4.5.2 Test of Stationarity Around a Linear Trend; 3.5 Parametric Tests; 3.5.1 Regression Analysis; 3.5.2 Regression Line Assumptions. 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book covers all types of literature on existing trend analysis approaches, but more than 60% of the methodologies are developed here and some of them are reflected to scientific literature and others are also innovative versions, modifications or improvements. The suggested methodologies help to design, develop, manage and deliver scientific applications and training to meet the needs of interested staff in companies, industries and universities including students. Technical content and expertise are also provided from different theoretical and especially active roles in the design, development and delivery of science in particular and economics and business in general. It is also ensured that, wherever possible and technically appropriate, priority is given to the inclusion and integration of real life data, examples and processes within the book content. The time seems right, because available books just focus on special sectors (fashion, social, business). This book reviews all the available trend approaches in the present literature on rational and logical bases. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Mathematical statistics. 
650 0 |a Technological innovations. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Şen, Zekâi.  |t Innovative trend methodologies in science and engineering.  |d Cham, Switzerland : Springer, 2017  |z 3319523376  |z 9783319523378  |w (OCoLC)966553867 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-52338-5  |y Plný text 
992 |c NTK-SpringerEES 
999 |c 98783  |d 98783 

Similar Items