10:00am-10:00pm (Fri Off)

061-6511828, 061-6223080 / 0333-6110619

All Of Statistics: A Concise Course In Statistical Inference by Larry Wasserman (Author)

  • Publisher: STATISTICS
  • Availability: In Stock
  • SKU: 24466
  • Number of Pages: 462

Rs.960.00

Rs.1,295.00

Tags: academia , Advanced inference , Advanced statistics , All Of Statistics , Applied inference , Asymptotic theory , Bayesian inference , Bayesian methods , Bayesian statistics , best books , Best Selling Books , BestBuy’s , biases , bootstrapping , causal inference , causal relationships , Central limit theorem , Computational statistics , Concise course , Confidence intervals , confounding factors , cross-validation , Data analysis tools , Data distributions , Data science tools , Data-driven analysis , Decision-making with data. , dimensionality reduction , Empirical methods , Estimation methods , Frequentist methods , good books , high-dimensional data analysis , Inference techniques , instrumental variable analysis , Large sample theory , Larry Wasserman , Likelihood functions , Mathematical concepts in statistics , Mathematical inference , Mathematical statistics , MCMC methods , Model fitting , Monte Carlo simulation , Multivariate analysis , Non-parametric methods , observational data , P-values , parameter estimation , Parametric methods , Practical inference , Practical statistics , predictive modeling , Probability and statistics , Probability models , Probability theory applications , propensity score matching , R programming , Random variables , randomized experiments , regularization , resampling methods , Sampling theory , sparse data , Springer , Statistical accuracy , Statistical algorithms , Statistical assumptions , Statistical challenges , statistical computing , Statistical data analysis , Statistical decision theory , Statistical estimates , Statistical estimation , Statistical experiments , Statistical exploration , Statistical inference techniques , Statistical insights , Statistical learning techniques , Statistical measures , Statistical practice , Statistical problems , Statistical proofs , Statistical research , Statistical significance , Statistical simulations , Statistical solutions , Statistics textbook , supervised learning , theoretical foundations , Theoretical statistics , unsupervised learning

All of Statistics: A Concise Course in Statistical Inference

Author: Larry Wasserman
Binding: Paperback
Paper Quality: Black White Paper
Category: Statistics / Mathematics / Data Science
Recommended For: Graduate and advanced undergraduate students in statistics, data science, machine learning, and researchers needing a quick yet thorough refresher.

Key Points

  1. Comprehensive Coverage
    The book covers a wide range of statistical topics, from basic probability to advanced inference techniques, providing a solid foundation for anyone studying or working in the field.

  2. Concise Explanations
    Wasserman delivers complex statistical concepts in a concise and understandable manner, making the material accessible to readers with varying levels of expertise.

  3. Practical Examples
    The book includes numerous examples that illustrate how statistical methods can be applied to real-world problems, enhancing the practical understanding of the subject matter.

  4. Focus on Inference
    A significant portion of the book is dedicated to statistical inference, helping readers grasp the principles behind making predictions or decisions based on data.

  5. Bayesian and Frequentist Approaches
    Both Bayesian and Frequentist perspectives are covered, giving readers a well-rounded view of different statistical methodologies.

  6. Suitable for Self-Study
    With its clear explanations and structured approach, the book is ideal for self-study, allowing readers to progress at their own pace.

  7. Exercises and Solutions
    The book includes exercises and their solutions, which are crucial for reinforcing the concepts learned and for practical application.

  8. Balanced Depth and Breadth
    While the book is comprehensive, it is also concise, striking a balance between depth and breadth that prevents the material from becoming overwhelming.

  9. For Beginners and Advanced Learners
    Whether you are new to statistics or an advanced learner, the book provides valuable insights and covers material that caters to different levels of knowledge.

  10. Widely Used in Academia
    The book is widely adopted in academic settings, making it a trusted resource for learning and teaching statistical inference.

Conclusion

"All Of Statistics: A Concise Course In Statistical Inference" by Larry Wasserman is an essential resource for anyone interested in gaining a deep understanding of statistical principles. With its comprehensive coverage, practical examples, and balanced approach, it serves as a valuable guide for both beginners and advanced learners in the field of statistics.

═══ ⋆★⋆ ═══

Writer                 ✤                  Larry Wasserman (Author)

Recently Viewed Products