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  1. Kuno J. M. Huisman. Technology Investment: A Game Theoretic Real Options Approach (Theory and Decision Library. Series C, Game Theory, Mathematical Programming, and Operations Research, V. 28). – М.: , 0. – 0 с.
  2. Abdol S. Soofi, Liangyue Cao. Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics (Studies in Computational Finance, Volume 2). – М.: , 0. – 0 с.
  3. Mohammad Karamouz. Water Resources Systems Analysis. – М.: , 0. – 0 с.
  4. Christian Gourieroux, Alain Monfort, Giampiero M. Gallo. Time Series and Dynamic Models (Themes in Modern Econometrics). – М.: , 0. – 0 с.
  5. Christian L. Dunis. Forecasting Financial Markets : Exchange Rates, Interest Rates and Asset Management (Financial Economics and Quantitative Analysis Series). – М.: , 0. – 0 с.
  6. Ralf Bruggemann. Model Reduction Methods for Vector Autoregressive Processes (Lecture Notes in Economics and Mathematical Systems). – М.: , 2004. – 0 с.
  7. Marc Wildi. Signal Extraction : Efficient Estimation, 'Unit Root'-Tests and Early Detection of Turning Points (Lecture Notes in Economics and Mathematical Systems). – М.: , 2004. – 0 с.
  8. Daniel Straumann. Estimation in Conditionally Herteroscedastic Time Series Models. – М.: , 2004. – 0 с.
  9. Juergen Topper. Financial Engineering with Finite Elements (The Wiley Finance Series). – М.: , 2005. – 0 с.
  10. Sergio M. Focardi. The Mathematics of Financial Modeling and Investment Management (Frank J. Fabozzi Series). – М.: , 2004. – 0 с.
  11. Humberto Barreto, Frank Howland. Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel. – М.: , 2005. – 798 с.
  12. George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel. Time Series Analysis: Forecasting and Control (Wiley Series in Probability and Statistics). – М.: , 2008. – 746 с.
  13. C. Richard Cassady, Joel A. Nachlas. Probability Models in Operations Research (Operations Research Series). – М.: , 2008. – 224 с.
  14. Douglas Kennedy. Stochastic Financial Models (Chapman & Hall/CRC Financial Mathematics Series). – М.: , 2010. – 264 с.
  15. Claudia Neuhauser. Calculus For Biology and Medicine (3rd Edition) (Calculus for Life Sciences Series). – М.: , 2010. – 840 с.
  16. Mario Lefebvre. Basic Probability Theory with Applications (Springer Undergraduate Texts in Mathematics and Technology). – М.: , 2008. – 334 с.
  17. Willi Gujer. Systems Analysis for Water Technology. – М.: , 2008. – 462 с.
  18. David F. Groebner, Patrick W. Shannon, Phillip C. Fry, Kent D. Smith. Business Statistics (8th Edition) (MyStatLab Series). – М.: , 2010. – 936 с.
  19. Otto Wildi. Data Analysis in Vegetation Ecology. – М.: , 2010. – 234 с.
  20. Andrea Pascucci. PDE and Martingale Methods in Option Pricing (Bocconi & Springer Series). – М.: , 2011. – 738 с.
  21. Alina Barbulescu,Carmen Maftei and Elena Bautu. Modeling the hydro-meteorological time series. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  22. Lynda Atil and Hocine Fellag. Stability of ARCH models and unit root tests. – М.: LAP Lambert Academic Publishing, 2011. – 120 с.
  23. Herve Dimy Anguima Ibondzi and Rafal Kulik. Mathematical Statistics. – М.: LAP Lambert Academic Publishing, 2014. – 60 с.
  24. Brian Oduor,Benard Okelo and Silas Onyango. Financial mathematics. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  25. Shashank Singh and Rangavajhala Subbaiah. Stochastic Disaggregation Modelling of Rainfall series. – М.: LAP Lambert Academic Publishing, 2013. – 140 с.
  26. Amarsinh Landage. Groundwater Contaminant Transport Mathematical Modelling. – М.: LAP Lambert Academic Publishing, 2013. – 96 с.
  27. Hocine Fellag. Stability of first-order autoregressive models Case of small samples. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  28. Aritra Ghosh and Maitreyi Kanjilal (Roy). Throughput Prediction for TCP Bulk Transfers. – М.: LAP Lambert Academic Publishing, 2012. – 136 с.
  29. Abed Alghawli. Mathematical models of time series. – М.: LAP Lambert Academic Publishing, 2012. – 296 с.
  30. Ahmed Shamiri. Comparing the Accuracy Forecasts from Competing GARCH models. – М.: LAP Lambert Academic Publishing, 2010. – 200 с.
  31. Dominique Habimana. Time Series Econometrics Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 60 с.
  32. Maria Mikela Chatzimichailidou. Dynamic Project Management and Task Crashing. – М.: LAP Lambert Academic Publishing, 2013. – 228 с.

Дополнительные результаты

  1. A.C. Harvey. The Econometric Analysis of Time Series - 2nd Edition (London School of Economics Handbooks in Economics). – М.: , 0. – 0 с.
  2. Philip Rothman. Nonlinear Time Series Analysis of Economic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, V. 1). – М.: , 0. – 0 с.
  3. Douglas M. Patterson, Richard A. Ashley. A Nonlinear Time Series Workshop - A Toolkit for Detecting and Identifying Nonlinear Serial (DYNAMIC MODELING AND ECONOMETRICS IN ECONOMICS AND). – М.: , 0. – 0 с.
  4. Philip Hans Franses, Richard Paap. Periodic Time Series Models (Advanced Texts in Econometrics). – М.: , 0. – 0 с.
  5. Abdol S. Soofi, Liangyue Cao. Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics (Studies in Computational Finance, Volume 2). – М.: , 0. – 0 с.
  6. Marla Parker, Mathematical Association of America. She Does Math!: Real-Life Problems from Women on the Job (Classroom Resource Materials). – М.: , 0. – 0 с.
  7. Terence C. Mills. The Econometric Modelling of Financial Time Series. – М.: , 0. – 0 с.
  8. Andrew C. Harvey. Forecasting, Structural Time Series Models and the Kalman Filter. – М.: Cambridge University Press, 1991. – 572 с.
  9. Terence C. Mills. Modelling Trends and Cycles in Economic Time Series. – М.: Palgrave Macmillan, 2003. – 180 с.
  10. Herman J. Bierens. Topics in Advanced Econometrics: Estimation, Testing and Specification of Cross-Section and Time Series Models. – М.: Cambridge University Press, 1996. – 272 с.
  11. Christian L. Dunis, Bin Zhou. Nonlinear Modelling of High Frequency Financial Time Series (Financial Economics and Quantitative Analysis Series). – М.: , 0. – 0 с.
  12. Benjamin Kedem, Konstantinos Fokianos. Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics). – М.: , 0. – 0 с.
  13. Christian Gourieroux, Alain Monfort, Giampiero M. Gallo. Time Series and Dynamic Models (Themes in Modern Econometrics). – М.: , 0. – 0 с.
  14. Alfred Greiner. The Forces of Economic Growth : A Time Series Perspective. – М.: , 2004. – 0 с.
  15. Charles A. Ingene. Mathematical Models of Distribution Channels (International Series in Quantitative Marketing). – М.: , 2004. – 0 с.
  16. Daniel Straumann. Estimation in Conditionally Herteroscedastic Time Series Models. – М.: , 2004. – 0 с.
  17. Jaksa Cvitanic. Introduction to the Economics and Mathematics of Financial Markets. – М.: , 2004. – 0 с.
  18. Ruey S. Tsay. Analysis of Financial Time Series (Wiley Series in Probability and Statistics). – М.: , 2005. – 0 с.
  19. Jaksa Cvitanic. Solutions Manual for Introduction to the Economics and Mathematics of Financial Markets. – М.: , 2004. – 0 с.
  20. Ken Blanchard. Lead Like Jesus: Lessons from the Greatest Leadership Role Model of All Time. – М.: , 2007. – 256 с.
  21. Econometric Models of the Euro-area Central Banks. – М.: , 2006. – 324 с.
  22. Nonlinear Time Series Analysis of Business Cycles, Volume 276 (Contributions to Economic Analysis). – М.: , 2006. – 460 с.
  23. Structural Models of Wage and Employment Dynamics, Volume 275 (Contributions to Economic Analysis). – М.: , 2006. – 612 с.
  24. Jianqing Fan, Qiwei Yao. Nonlinear Time Series: Nonparametric and Parametric Methods (Springer Series in Statistics). – М.: , 2005. – 552 с.
  25. Eric Zivot, Jiahui Wang. Modeling Financial Time Series with S-PLUSA®. – М.: , 2006. – 1002 с.
  26. Helmut LA?tkepohl. New Introduction to Multiple Time Series Analysis. – М.: , 2006. – 764 с.
  27. Nonlinear Econometric Modeling in Time Series: Proceedings of the Eleventh International Symposium in Economic Theory (International Symposia in Economic Theory and Econometrics). – М.: , 2006. – 239 с.
  28. Bernhard Pfaff. Analysis of Integrated and Cointegrated Time Series with R (Use R). – М.: , 2008. – 188 с.
  29. Andre Lucas, Philip Hans Franses, Dick Van Dijk. Outlier Robust Analysis of Economic Time Series (Advanced Texts in Econometrics). – М.: , 2008. – 270 с.
  30. George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel. Time Series Analysis: Forecasting and Control (Wiley Series in Probability and Statistics). – М.: , 2008. – 746 с.
  31. Glass V Glass, Victor L Willson, John M Gottman. Design and Analysis of Time-Series Experiments (PB). – М.: , 2008. – 264 с.
  32. Peter J. Brockwell, Richard A. Davis. Introduction to Time Series and Forecasting. – М.: , 2010. – 456 с.
  33. Volatility and Time Series Econometrics: Essays in Honor of Robert Engle (Advanced Texts in Econometrics). – М.: , 2010. – 384 с.
  34. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series: Concepts, Methods, Algorithms. – М.: , 2010. – 384 с.
  35. Esther A. Williams, John Mordechai Gottman. A User's Guide to the Gottman-Williams Time-Series Analysis Computer Programs for Social Scientists. – М.: , 0. – 0 с.
  36. Applied Time Series Econometrics (Themes in Modern Econometrics). – М.: , 2004. – 350 с.
  37. Martin a. Hjortso, Peter Wolenski, Martin A. Hjorts. Linear Mathematical Models In Chemical Engineering. – М.: , 2010. – 600 с.
  38. Editors of Time Magazine. Time: Hurricane Katrina : The Storm That Changed America. – М.: , 2005. – 144 с.
  39. Mario Lefebvre. Basic Probability Theory with Applications (Springer Undergraduate Texts in Mathematics and Technology). – М.: , 2008. – 334 с.
  40. Yue-Kuen Kwok. Mathematical Models of Financial Derivatives (Springer Finance). – М.: , 2008. – 386 с.
  41. Vincenzo Capasso. Mathematical Structures of Epidemic Systems (Lecture Notes in Biomathematics). – М.: , 2008. – 284 с.
  42. Editors Of Time Magazine, Jeffrey Kluger. TIME Your Brain: A User's Guide. – М.: , 2010. – 144 с.
  43. Walter Enders. Applied Econometric Times Series. – М.: Wiley, 2010. – 544 с.
  44. WU ZHONGHUA. Mathematical Modeling of Pulse Combustion: Principle, Practice and Modeling. – М.: , 2010. – 24 с.
  45. Pierpaolo Esposito, Nassif Ghoussoub, Yujin Guo. Mathematical Analysis of Partial Differential Equations Modeling Electrostatic Mems (Courant Lecture Notes). – М.: , 2010. – 318 с.
  46. Mathematical Modeling of Food Processing (Contemporary Food Engineering). – М.: , 2010. – 948 с.
  47. Ruey S. Tsay. Analysis of Financial Time Series. – М.: John Wiley and Sons, Ltd, 2010. – 712 с.
  48. Howard E.A. Tinsley. Handbook of Applied Multivariate Statistics and Mathematical Modeling. – М.: , 2010. – 721 с.
  49. Isaak D. Mayergoyz. Mathematical Models of Hysteresis and their Applications. – М.: , 2010. – 498 с.
  50. KRISHNAIAH. HANDBOOK OF STATISTICS VOL.3 HS 3 TIME SERIES IN THE FREQUENCY DOMAIN. – М.: , 2010. – 0 с.
  51. Viktor V. Ivanov. Mathematical Models of the Cell and Cell Associated Objects,206. – М.: , 2010. – 354 с.
  52. Clive Dym. Principles of Mathematical Modeling. – М.: , 2010. – 303 с.
  53. M.T. Silvia. Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas. – М.: , 2010. – 0 с.
  54. KRISHNAIAH. HANDBOOK OF STATISTICS VOL.5 TIME SERIES IN THE TIME DOMAIN HS5. – М.: , 2010. – 0 с.
  55. Peter Dayan. Theoretical Neuroscience – Computational and Mathematical Modeling of Neural Systems. – М.: , 2005. – 576 с.
  56. Richard J Gillings. Mathematics in the Time of Pharaohs. – М.: , 2003. – 298 с.
  57. Richard Mcelreath. Mathematical Models of Social Evolution – A Guide for the Perplexed. – М.: , 2007. – 432 с.
  58. Alfred Greiner. The Forces of Economic Growth – A Time Series Perspective. – М.: , 2005. – 208 с.
  59. William J Stewart. Probability, Makrov Chains, Queues & Simulation – The Mathematical Basis of Performance Modeling. – М.: , 2009. – 760 с.
  60. Stephen J. Taylor. Modelling Financial Time Series. – М.: , 1995. – 320 с.
  61. Stephen J. Taylor. Modelling Financial Time Series. – М.: , 1995. – 320 с.
  62. Steven Taylor. Modelling Financial Time Series. – М.: , 1986. – 284 с.
  63. L FINKELSTEIN. Finkelstein ?mathematical? Modeling Of Dynamic Biological Systems. – М.: , 1979. – 344 с.
  64. Rudy Slingerland. Mathematical Modeling of Earth?s Dynamical Systems – A Primer. – М.: , 2011. – 304 с.
  65. JS BERRY. Berry Teaching & Applying ?mathematical? Modelling (int Conf On The Teach Of Math Model). – М.: , 1984. – 510 с.
  66. Norbert Weiner. Extrapolation, Interpolation & Smoothing of Stationary Time Series – With Engineering Applications. – М.: , 1964. – 176 с.
  67. M CROSS. Cross Learning The Art Of ?mathematical? Modelling. – М.: , 1985. – 156 с.
  68. Cj Puccia. Qualitative Modeling of Complex Systems – An Intro to Loop Analysis & Time Average. – М.: , 1986. – 256 с.
  69. AA CYRAS. Cyras Mathematical Models For The Analysis And ?optimization? Of Elasto–plastic System. – М.: , 1983. – 122 с.
  70. EDITORS OF TIME LIFE. Life: Photography Exposed : The Story Behind the Image. – М.: Time Warner International, 2005. – 128 с.
  71. Editors of Time Magazine. Time: Great Buildings of the World : The World's Most Influential, Inspiring and Astonishing Structures. – М.: , 2004. – 176 с.
  72. Kelly Knauer, Editors of Time Magazine. Time Annual 2013 (Time Annual: the Year in Review). – М.: , 2013. – 128 с.
  73. Ankit Kajaria. Design And Analysis Of Mathematical Model For Human Respiratory System. – М.: LAP Lambert Academic Publishing, 2013. – 68 с.
  74. Ning Chuang. A mathematical model of a DC machine. – М.: LAP Lambert Academic Publishing, 2010. – 124 с.
  75. Yuriy Sharikov,Felix Sharikov and Oleg Titov. Mathematical modeling of processes in the tubular rotary kiln. – М.: LAP Lambert Academic Publishing, 2013. – 112 с.
  76. Josias Jakobus Nieuwoudt. Modelling of Catalytic Distillation. – М.: LAP Lambert Academic Publishing, 2011. – 236 с.
  77. Antti Sorjamaa. Methodologies for Time Series Prediction and Missing Value Imputation. – М.: LAP Lambert Academic Publishing, 2011. – 92 с.
  78. Nadir Hossain and Ahmed Wathik Naji. Modeling of Hybrid EDFA/DRA. – М.: LAP Lambert Academic Publishing, 2010. – 184 с.
  79. Sabuj Mallik. Rheological Characterisation and Modelling of Electronic Materials. – М.: LAP Lambert Academic Publishing, 2010. – 224 с.
  80. P. Rajeev Kumar and D.N. Singh. Centrifuge modelling of contaminant transport through soils. – М.: LAP Lambert Academic Publishing, 2013. – 132 с.
  81. Alina Barbulescu,Carmen Maftei and Elena Bautu. Modeling the hydro-meteorological time series. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  82. WU ZHONGHUA. Mathematical Modeling of Pulse Combustion. – М.: LAP Lambert Academic Publishing, 2010. – 116 с.
  83. Jonas Bugase and Wole Soboyejo. Modelling of an Implantable Device for Localized Hyperthermia. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  84. Anupam Khanna. Some Mathematical Models on Vibrational Behaviour of Plates. – М.: LAP Lambert Academic Publishing, 2012. – 160 с.
  85. Md. Abdus Salam. Modeling of Contaminated Insulator. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  86. Gokcen Alev ALTUN-CIFTCIOGLU. Mathematical Modelling Of Photopolymerization Process. – М.: LAP Lambert Academic Publishing, 2010. – 188 с.
  87. Abed Abdel Qader,Abbas Al-Omari and Manar Fayyad. Mathematical Modeling of Trihalomethane. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
  88. Nebojsa Veljkovic,Tatjana Dopudja-Glisic and Milorad Jovicic. Modeling and Assessment of Diffuse Water Pollution Load. – М.: LAP Lambert Academic Publishing, 2013. – 152 с.
  89. Gennady Medvedev. Dynamic stochastic models of flow simulators. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  90. Olanrewaju Shittu. Analysis of Time Series Data in the Presence of Outliers. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  91. Quan Zou. Computational Models of Spike-Timing Dependent Plasticity:. – М.: LAP Lambert Academic Publishing, 2009. – 192 с.
  92. Alex Adusei Agyemang. Modelling of the Cell-Mediated Immune Response to Epstein Barr Virus. – М.: LAP Lambert Academic Publishing, 2012. – 68 с.
  93. Valery Antonov. Mathematical models of thermal energy processes. – М.: LAP Lambert Academic Publishing, 2012. – 188 с.
  94. S. Durga Prasad,Balasiddamuni Pagadala and Ramesh Mummineni. Statistical Inference In Time Series Regression Models. – М.: LAP Lambert Academic Publishing, 2013. – 212 с.
  95. Jakub Cupera. Mathematical Models of Dissolution. – М.: LAP Lambert Academic Publishing, 2010. – 64 с.
  96. Jesse Mwangi. Non-Linear Time Series Models. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  97. Ulker Guner Bacanl?. Evaluation of Suitability Criteria in Stochastic Processes. – М.: LAP Lambert Academic Publishing, 2013. – 188 с.
  98. VENKATESAN .D and . ARUMUGAM.P. A BAYESIAN ANALYSIS OF CHANGING TIME SERIES MODELS. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  99. Bisher Iqelan. Periodically Correlated Time Series: Models and Examples. – М.: LAP Lambert Academic Publishing, 2011. – 204 с.
  100. Tigist Mideksa Damesa. A Multivariate Time Series Analysis of Agrometeorological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  101. Raid Salha. Kernel Estimation for the Mode and Quantiles of Time Series. – М.: LAP Lambert Academic Publishing, 2011. – 168 с.
  102. Sumeet Meshram. Stochastic modeling of water deficit for crop planning. – М.: LAP Lambert Academic Publishing, 2014. – 112 с.
  103. Gerard Keogh. Univariate Time Series Modelling and Forecasting using TSMARS. – М.: LAP Lambert Academic Publishing, 2010. – 248 с.
  104. Jorge Caiado. Classification and clustering of time series. – М.: LAP Lambert Academic Publishing, 2010. – 208 с.
  105. Ravi Ramakrishnan. Robust multivariate and nonlinear time series models. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.
  106. VENKATESAN .D and VIJAYAKUMAR. M. BAYESIAN INFERENCE FOR STRUCTURAL CHANGES IN TIME SERIES MODELS. – М.: LAP Lambert Academic Publishing, 2011. – 120 с.
  107. Isabel Silva. Analysis of discrete-valued time series. – М.: LAP Lambert Academic Publishing, 2012. – 288 с.
  108. Olaoluwa S. Yaya and Olanrewaju I. Shittu. Basic Questions And Answers In Introductory Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2013. – 112 с.
  109. Shashank Singh and Rangavajhala Subbaiah. Stochastic Disaggregation Modelling of Rainfall series. – М.: LAP Lambert Academic Publishing, 2013. – 140 с.
  110. Yared Assefa. Time Series and Spatial Analysis of Crop Yield. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  111. Fuhad Ahmed and Ahmed Kabir Chowdhury. Time Series Model Building On Climate Data In Sylhet. – М.: LAP Lambert Academic Publishing, 2014. – 216 с.
  112. Rajeev Kumar Bansal. Mathematical Modelling of Subsurface Seepage Flow over Sloping Beds. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  113. Devaraju Narayanappa. Mathematical Modelling of Dispersion of Atmospheric Aerosols. – М.: LAP Lambert Academic Publishing, 2011. – 236 с.
  114. Benito Mng'ong'o,Estomih Massawe and David Henwood. Mathematical modelling of a beam using finite element method. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  115. Anuj Kumar. Introduction & Review Collection for Analysis of Financial Time Series. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  116. Subiyanto,Mustafa Mamat and Agus Kartono. Mathematical Model of Tumour Therapy by Biochemotherapy. – М.: LAP Lambert Academic Publishing, 2013. – 96 с.
  117. Milan Hanus. Mathematical modeling of neutron transport. – М.: LAP Lambert Academic Publishing, 2011. – 156 с.
  118. Mohammed Musad. Mathematical Modeling of Blood Flow Through Stenosed Arteries. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  119. Lakshminarayanachari K. Mathematical modeling of air pollutants. – М.: Scholars' Press, 2013. – 252 с.
  120. Gbolahan Bolarin. Mathematical Models for the Control of Infectious Diseases. – М.: LAP Lambert Academic Publishing, 2014. – 176 с.
  121. Reza Habibi. Applications of Statistical Engineering Tools in Financial Time Series. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  122. Ali F. Abu-Bakr and Selim A. Mohammadein. Mathematical Modeling of Bubble Growth in Turbulent Flow. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  123. Tan Liang Soon and Ang Keng Cheng. Mathematical modelling of avascular tumour growth. – М.: LAP Lambert Academic Publishing, 2010. – 72 с.
  124. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  125. Francisco Martinez Alvarez. Advanced Time Series Forecasting Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.
  126. S. Akhter Raza and S. M. Aqil Burney. Time Series Analysis of High Speed Wireless Networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с.
  127. Ratnadip Adhikari and R. K. Agrawal. An Introductory Study on Time Series Modeling and Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  128. Abed Alghawli. Mathematical models of time series. – М.: LAP Lambert Academic Publishing, 2012. – 296 с.
  129. Harya Widiputra. Multiple Time-Series Analysis and Modelling. – М.: LAP Lambert Academic Publishing, 2012. – 312 с.
  130. Ismael Marin Carrion. High Performance Computing Applied to Nonlinear Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 184 с.
  131. Azad Aliyev. Economical and mathematical models subject to incomplete information. – М.: LAP Lambert Academic Publishing, 2013. – 316 с.
  132. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series. – М.: LAP Lambert Academic Publishing, 2010. – 384 с.
  133. Jesper Boer. Modeling Volatility in Financial Time Series. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.
  134. Mohamed Mukras. Fundamental Principles of Time Series Econometrics Volume I. – М.: LAP Lambert Academic Publishing, 2012. – 432 с.
  135. IOANNIS NEOKOSMIDIS. VOLATILITY MODELLING AND TIME SERIES ANALYSIS. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.
  136. Suleman Nasiru and Albert Luguterah. Temporal Modelling Of Currency In Circulation In Ghana. – М.: LAP Lambert Academic Publishing, 2014. – 108 с.
  137. Mohamed Mukras. Fundamental Principles of Time Series Econometrics Volume II. – М.: LAP Lambert Academic Publishing, 2012. – 460 с.
  138. Dominique Habimana. Time Series Econometrics Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 60 с.
  139. Hellen Namawejje. Mathematical Modeling of Tuberculosis and Stress. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  140. Moez AbdelGawad. NOOP: A Nominal Mathematical Model of Object-Oriented Programming. – М.: , 2013. – 108 с.

Лучшие результаты

Ничего не найдено

Дополнительные результаты

  1. Наука человековедения. интервью с Д. Уолтоном, профессором London Metropolitan University, экспертом CIPD. Chartered Institute of Personnel and Development, автором программы Master of Arts in Human Resource Strategies. И. Смирнова, "Кадровый менеджмент", № 5, июль-август 2007.
  2. Партнерство вместо подчинения. интервью с Дезо Хорватом, деканом Schulich School of Business. Р. Крецул, "Кадровый менеджмент", № 1, февраль 2006.
  3. Автоматизация функционально-стоимостного управления с применением Hyperion Business Modeling. Д. Исаев, М. Перьков, "Финансовая газета. Региональный выпуск", № 41, 42, октябрь 2004.
  4. Медицинская информатика в Web of Science: доля России в мировом публикационном потоке. Н.Г. Куракова, Л.А. Цветкова, "Врач и информационные технологии", № 4, июль-август 2012.
  5. Back side of the moon, или темная сторона поведения персонала. интервью с Н. Русаковой, директором по персоналу ОАО "Хлебпром", А. Сукачёвым, директором "Торговой компании АС", Н. Харитоновой, руководителем службы персонала тверской компании ЗАО "ДКС". А. Колесникова, Т. Тюрина, С.  Машарипов, "Управление персоналом", N 16, август 2010 г.
  6. Использование Bill of Exchange в аккредитивной форме расчетов. Н.В. Букина, "Международные банковские операции", № 6, ноябрь-декабрь 2009.

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