Duba Asali
0 ratings
Introduction to Stochastic Processes (Dover Books on Mathematics) Paperback Illustrated, February 20, 2013
genuine image
Introduction to Stochastic Processes (Dover Books on Mathematics) Paperback Illustrated, February 20, 2013
A clear presentation of the most fundamental models of random phenomena employing methods that recognize computer-related aspects of theory.
Introduction to Stochastic Processes (Dover Books on Mathematics) Paperback Illustrated, February 20, 2013
Lambar abu: 110124637

Introduction to Stochastic Processes (Dover Books on Mathematics) Paperback Illustrated, February 20, 2013

Lambar abu: 110124637

XAF 11044

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from Ƙasar Amurika US

0 ratings Rubuta bita
A Stock
Ƙasar Amurika US An shigo da shi daga kantin USA

QTY:

Yi Oda yanzu, a samu nan da Laraba, Yuni 24
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
A clear presentation of the most fundamental models of random phenomena employing methods that recognize computer-related aspects of theory.
Garanti na U-care:
Babu
Zaɓi tsari
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of Ƙasar Amurika US store (110-120). Recommended power converters Saya yanzu.

What Stands Out

Clear Illustrations
Enhances understanding through well-crafted illustrations, making complex stochastic concepts accessible to readers at all levels.
Comprehensive Coverage
Thoroughly covers various stochastic processes, equipping readers with a robust foundation essential for advanced studies and practical applications.
Affordable Edition
Offered as a Dover paperback, providing an economical option for students and professionals seeking quality mathematics resources without breaking the bank.

Bayanin samfur

Shop Introduction to Stochastic Processes (Dover Books on Mathematics) Paperback Illustrated, February 20, 2013 online at a best price in Chad. 0486497976
Item Weight1 lbs (450 grams)

Who Should Buy?

Suitable For
  • Students in Math

    Ideal for undergraduate and graduate students studying probability and mathematical statistics, particularly those focusing on stochastic processes.

  • Professionals in Finance

    Useful for finance professionals needing to understand stochastic models for risk assessment and financial forecasting.

  • Researchers in Statistics

    Beneficial for researchers looking to deepen their knowledge of stochastic processes applied to statistics and data analysis.

Not Suitable For
  • Casual Readers

    Not suitable for those seeking light reading, as the material is technical and requires mathematical background.

  • Beginner Students

    Inappropriate for students without prior knowledge in probability or statistics, as it covers advanced concepts.

  • General Audience

    Not ideal for a general audience, as the focus is on specialized topics that may not interest the layperson.

KWATANCEN ABUN

Introduction to Stochastic Processes (Dover Books on Mathematics) Paperback Illustrated, February 20, 2013

Kuna da wata tambaya? Yi taɗi da mu

Tambayoyi & Amsoshi na Abokan Ciniki

  • Tambaya: What is the main focus of 'Introduction to Stochastic Processes'?

    Amsa: The main focus of 'Introduction to Stochastic Processes' is to provide a fundamental understanding of stochastic processes, which are mathematical models used to describe systems that evolve over time in a probabilistic manner. The book covers vital topics, including Markov chains, Poisson processes, and queueing theory, making it suitable for both beginners and those with prior knowledge. It's highly valuable for students in fields such as statistics, mathematics, engineering, and finance who want to analyze and predict random phenomena.
  • Tambaya: Who can benefit from reading this book?

    Amsa: This book is particularly beneficial for undergraduate and graduate students in mathematics, statistics, engineering, and related disciplines. Researchers and professionals in fields such as finance, economics, and data science will also find it to be an essential resource. The clear explanations, coupled with a wealth of examples and exercises, facilitate a deeper understanding of stochastic processes, making it an invaluable tool for anyone looking to enhance their analytical skills in uncertain environments.
  • Tambaya: How does this book differ from other books on stochastic processes?

    Amsa: This book stands out due to its systematic and rigorous approach, with a clear focus on developing intuition. Unlike many textbooks that can be overly technical, this book balances theory with practical examples and applications, making complex subjects more approachable. Its comprehensive coverage and insightful exercises encourage readers to thoroughly grasp concepts, preparing them for real-world applications in areas like finance modeling, operations research, and engineering decision-making.
  • Tambaya: What prerequisites are needed to understand the content in this book?

    Amsa: A foundational knowledge of probability theory and calculus is recommended for readers to fully grasp the concepts presented in this book. Familiarity with basic mathematical concepts and some exposure to linear algebra will also enhance comprehension. The book gradually builds on these foundations, addressing key concepts in a way that facilitates understanding, making it accessible for those with introductory-level mathematical training who are looking to delve deeper into stochastic analysis.
  • Tambaya: Does the book include practical examples or case studies?

    Amsa: Yes, 'Introduction to Stochastic Processes' includes numerous practical examples and case studies throughout its chapters. These real-world applications help contextualize theoretical concepts and allow readers to see the relevance of stochastic processes in fields like finance, telecommunications, and biological sciences. The illustrative problems challenge readers to apply what they have learned, enhancing their problem-solving skills and preparing them for practical scenarios where stochastic models are employed.
  • Tambaya: Can this book be used for self-study?

    Amsa: Absolutely! This book is designed with self-study in mind. Its structured format, clear explanations, and a range of exercises make it suitable for independent learners. Readers can progress through topics at their own pace, utilizing the exercises to reinforce learning and ensure comprehension. This flexibility makes it an excellent choice for self-learners, those preparing for exams, or individuals seeking to enhance their knowledge of stochastic processes outside a formal classroom setting.
  • Tambaya: What level of mathematics is used in this book?

    Amsa: The book employs undergraduate-level mathematics, primarily focusing on probability theory and calculus. While it is comprehensive, it is presented in a way that does not assume advanced mathematical background, making it accessible to those with a solid grasp of basic mathematical principles. Readers will encounter concepts like limits, integrals, and differential equations as they navigate through the material, which are essential for understanding stochastic processes and their applications.
  • Tambaya: What kind of exercises are included in the book?

    Amsa: The book includes a variety of exercises that range from theoretical problems to practical applications. These exercises are designed to reinforce understanding and encourage critical thinking about stochastic processes. Some problems challenge readers to derive properties of stochastic models, while others aim to apply concepts to real-world situations such as optimization and prediction. This diverse range of exercises equips readers with the skills needed to approach complex problems using stochastic methods effectively.
  • Tambaya: Is this book suitable for professionals in data science or analytics?

    Amsa: Yes, professionals in data science and analytics will find this book particularly useful. Understanding stochastic processes is crucial in these fields for analyzing data that changes over time, modeling uncertainties, and making informed predictions. The concepts discussed are directly applicable to real-world scenarios, such as algorithm development and risk assessment. This makes it a relevant resource for practitioners looking to refine their skills and enhance their analytical capabilities.
  • Tambaya: Where can I buy 'Introduction to Stochastic Processes (Dover Books on Mathematics)'?

    Amsa: You can buy 'Introduction to Stochastic Processes (Dover Books on Mathematics)' from Ubuy in Chad. Ubuy offers a user-friendly platform to order books from various categories, including academic and technical literature, ensuring you receive this valuable resource conveniently.

Stochastic Modeling Editorial Review

**** The "Introduction to Stochastic Processes" by Dover Books on Mathematics stands out as a comprehensive resource for readers delving into the field of stochastic processes without diving into measure theory. Reviewers appreciate its thorough non-measure theoretic approach, which is tailored to those who may not have an extensive background in advanced mathematics. The text includes a plethora of detailed examples, which facilitate understanding of complex concepts, particularly those related to Markov processes, branching models, and queuing theory. A unique feature is the book’s dedicated chapter on the Bernoulli process, which many other texts overlook. This choice enriches the reader's comprehension by framing the Bernoulli process as a discrete counterpart to the more frequently discussed Poisson process. Nonetheless, some reviewers perceive the text’s format as overly focused on theorems and proofs, suggesting it might benefit from additional visual aids for clarity. Despite some concerns regarding the clarity of the Kindle edition—especially with formula errors that could disrupt the learning experience—the book's value as a reference text is widely recognized. Readers emphasize that prior knowledge of statistical and probability theory significantly enhances the usability of the material. In summary, this book is hailed as a valuable contribution to the Dover catalog for those seeking a substantive understanding of stochastic processes, though it may be best utilized alongside more elementary texts for a rounded educational experience. **

Customer Reviews & Ratings

4.0
1 Ƙimar da abokan ciniki suka bayar
  • 5 Tauraruwa
    0%
  • 4 Tauraruwa
    100%
  • 3 Tauraruwa
    0%
  • 2 Tauraruwa
    0%
  • 1 Tauraruwa
    0%

Yi bitar akan wannan Samfurin

Faɗan wa sauran Abokan ciniki ra'ayin ka

Ribobi

  • Comprehensive coverage of stochastic processes without measure theory.
  • In-depth treatments of Markov processes, branching, and queuing models.
  • A dedicated chapter on the Bernoulli process enriches understanding.
  • Large number of detailed examples aids learning.
  • High content-to-price ratio, regarded as a good reference text.

Fursunoni

  • Text can be overly “theorem-proofy,” with some feeling it could use more diagrams.

Product Price History

Sanarwa mai amfani

  • Iyakoki: Don Abubuwan da aka yi sufurin su daga ƙasashen waje, a lura da cewa garanti ɗin mai ƙira ba lallai ya yi aiki ba; wajan neman taimakon mai ƙira ba lallai ya samu ba; kuma Littafin Sanin yanda abu yake aiki, hanyoyin tsaro da umarni ba lallai ya kasance a yaren ƙasar mai siya ba; Samfurin kaya (da sauran kayan haɗi) ba lallai ne an ƙera su a bisa tsarin ƙasar da za a kaya kayan ba, da ƙayyadaddun bayanai, ko dokar yin alama ko laƙabi; kuma ba lallai bane samfuran kayan su dace da ma'aunin wutar lantarki na voltage ɗin kasar da sauran dokokin ƙasa na wutar lantarki (wanda za'a buƙaci amfani da na'urar adafta ko na'urar canza launi idan ya dace). Mai karɓar kaya shi/ita ke da alhakin tabbatar da cewa samfurin da aka siya za'a iya shigo da shi ƙasar da za'a kai a bisa dokar ƙasar. A yayin yin oda daga Ubuy ko masu alaƙa da su, mai karɓar oda ne mai shigo da kaya, kuma dole ya/ta tabbarar da cewa ya/ta bi duka dokokin ƙasar da za'a kai kayan.
  • Ba dukkan abubuwan da aka saka a kan Ubuy bane na sayar wa, don Ubuy wajen bincike ne na duk duniya. Duk wani Samfurin abu yana da dokokin shige da fice na ƙasashe da kuma dokokin siye da sayar wa.

XAF 11044

Yi Oda yanzu, a samu nan da Laraba, Yuni 24

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Fasaloli & Fa'idoji

  • Focuses on fundamental models of random phenomena.
  • Utilizes methods acknowledging computer-related aspects of theory.
  • Emphasizes the behavior of sample paths.
  • Includes numerical examples and end-of-chapter exercises.
  • Suitable for engineering and applied mathematics students.
  • Accessible to those with calculus background, no measure theory required.