Mathematical Statistics with Applications
Score: 3.5
From 2 Ratings

Mathematical Statistics with Applications


  • Author : Dennis Wackerly
  • Publisher : Nelson Education
  • Release Date : 2007-10-10
  • Genre: Mathematics
  • Pages : 944
  • ISBN 10 : 9781111798789


Mathematical Statistics with Applications Book Description :

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors’ use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R


  • Author : Kandethody M. Ramachandran
  • Publisher : Elsevier
  • Release Date : 2014-09-14
  • Genre: Mathematics
  • Pages : 826
  • ISBN 10 : 9780124171329


Mathematical Statistics with Applications in R Book Description :

Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner. This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students. Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods

Mathematical Statistics with Applications
Score: 3.5
From 2 Ratings

Mathematical Statistics with Applications


  • Author : Dennis Wackerly
  • Publisher : Cengage Learning
  • Release Date : 2014-10-27
  • Genre: Mathematics
  • Pages : 944
  • ISBN 10 : 9780495110811


Mathematical Statistics with Applications Book Description :

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Mathematical Statistics with Applications
Score: 4
From 1 Ratings

Mathematical Statistics with Applications


  • Author : Dennis D. Wackerly
  • Publisher : Duxbury Press
  • Release Date : 2002
  • Genre: Mathematics
  • Pages : 853
  • ISBN 10 : STANFORD:36105121736438


Mathematical Statistics with Applications Book Description :

This is the most widely used mathematical statistics text at the top 200 universities in the United States. Premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid undergraduate foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research.

Mathematical Statistics with Applications

Mathematical Statistics with Applications


  • Author : Dennis D. Wackerly
  • Publisher : Brooks/Cole
  • Release Date : 1996
  • Genre: Mathematical statistics
  • Pages : 798
  • ISBN 10 : STANFORD:36105019243653


Mathematical Statistics with Applications Book Description :

This best-selling book presents a solid foundation in statistical concepts and their application to the real world.

Modern Mathematical Statistics with Applications

Modern Mathematical Statistics with Applications


  • Author : Jay L. Devore
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-12-07
  • Genre: Mathematics
  • Pages : 845
  • ISBN 10 : 9781461403913


Modern Mathematical Statistics with Applications Book Description :

Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings. This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature.

Mathematical Statistics With Applications

Mathematical Statistics With Applications


  • Author : Asha Seth Kapadia
  • Publisher : CRC Press
  • Release Date : 2017-07-12
  • Genre: Mathematics
  • Pages : 648
  • ISBN 10 : 9781351992046


Mathematical Statistics With Applications Book Description :

Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.

Mathematical Statistics with Applications

Mathematical Statistics with Applications


  • Author : William Mendenhall
  • Publisher : Arden Shakespeare
  • Release Date : 1986
  • Genre: Mathematical statistics
  • Pages : 750
  • ISBN 10 : UCSD:31822033832023


Mathematical Statistics with Applications Book Description :

This is the most widely used mathematical statistics text at the top 200 universities in the United States. Premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid undergraduate foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research.

Mathematical Statistics with Applications

Mathematical Statistics with Applications


  • Author : William Mendenhall
  • Publisher : Brooks/Cole
  • Release Date : 1981
  • Genre: Mathematical statistics
  • Pages : 686
  • ISBN 10 : STANFORD:36105031643880


Mathematical Statistics with Applications Book Description :

What is statistics? Probability; Discrete random variables and their probability distributions; Continuous random variables and their probability distributions; Multivariate probability distributions; Functions of random variables; Sampling distributions and the central limit theorem; Estimation; Properties of point estimators and methods of estimation; Hypothesis testing; Linear models and estimation by least squares; Considerations in designing experiments; The analysis of variance; Analysis of enumerative data; Nonparametric statistics.