http://www.merlot.org:80/merlot/ A search of MERLOT materials Copyright 1997-2013 MERLOT. All rights reserved. Mon, 20 May 2013 18:36:45 PDT Mon, 20 May 2013 18:36:45 PDT http://www.merlot.org:80/merlot/images/merlot.gif http://www.merlot.org:80/merlot/ 44 34 http://www.merlot.org/merlot/viewMaterial.htm?id=688041 Shafer and Zhang wrote "Introductory Statistics" by using their vast teaching experience to present a complete look at introductory statistics topics while keeping in mind a realistic expectation with respect to course duration and students’ maturity level.In many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time. The Introductory Statistics teacher is no stranger to this challenge. To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated students. Shafer and Zhang wrote Introductory Statistics by using their vast teaching experience to present a complete look at introductory statistics topics while keeping in mind a realistic expectation with respect to course duration and students’ maturity level.Over time the core content of this course has developed into a well-defined body of material that is substantial for a one-semester course. Shafer and Zhang believe that the students in this course are best served by a focus on that core material and not by an exposure to a plethora of peripheral topics. Therefore in writing Introduction to Statistics they have sought to present only the core concepts and use a wide-ranging set of exercises for each concept to drive comprehension. As a result Introduction to Statistics is a smaller and less intimidating textbook that trades some extended and unnecessary topics for a better-focused presentation of the central material.You will not only appreciate the depth and breadth of exercises in Introduction to Statistics, but you will also like the close attention to detail that Shafer and Zhang have paid to the student and instructor solutions manuals. This is one of few books on the market where the textbook authors have written the solutions manuals to maintain the integrity of the material.In addition, in order to facilitate the use of technology with the book the authors included “large data set exercises,” where appropriate, that refer to large data sets that are available on the web, and for which use of statistical software is necessary.Take time to peruse Introduction to Statistics by Shafer and Zhang to see if its core-concept focus and robust exercise sets are right for your Introductory Statistics course and students. http://www.merlot.org/merlot/viewMaterial.htm?id=626150 From the table of contents: Theory and Estimation of Behavioral Travel Demand Models; Development, Testing, and Validaton of a Work-Trip Mode-Choice Model; Modeling Choices Other than Work-Trip; Issues in Demand Modeling and Forecasting. http://www.merlot.org/merlot/viewMaterial.htm?id=626163 This is another book by Professor Wolfgang Härdle and his colleagues on nonparametric statistics and smoothing. The unique feature of this book is the inclusion of topics on semi-parametric regression models for high-dimensional data. Minimum theory and numerical examples are covered in this book, which makes it mostly suitable for a course in nonparametric regression to graduate students. It will be useful for readers who would like to understand the statistical and mathematical principles and basic concepts and techniques of smoothing. http://www.merlot.org/merlot/viewMaterial.htm?id=626159 Quantitative economic study has a threefold basis: it is necessary to formulate economic hypotheses, to collect appropriate data, and to confront hypotheses with data. The latter task, statistical inference in economics, is discussed in this book. http://www.merlot.org/merlot/viewMaterial.htm?id=606387 OpenIntro is built by teachers, for teachers. We support open source and free products, e.g. the free textbook OpenIntro Statistics and free online course management software. When we say "free״, that means free for you and free for your students. http://www.merlot.org/merlot/viewMaterial.htm?id=563162 ״The Promise and Peril of Big Data explores the implications of inferential technologies used to analyze massive amounts of data and the ways in which these techniques can positively affect business, medicine, and government.״ http://www.merlot.org/merlot/viewMaterial.htm?id=556369 ״CK-12 Foundation’s Basic Probability and Statistics – A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.״ http://www.merlot.org/merlot/viewMaterial.htm?id=556342 This free, online textbook "utilizes a number of user defined m-programs, in combination with built in MATLAB functions, for solving a variety of probabilistic problems. These m-files are included as text files in the collection New Prob m-files. We use the term m-function to designate a user-defined function as distinct from the basic MATLAB functions which are part of the MATLAB package. An m-procedure (or sometimes a procedure) is an m-file containing a set of MATLAB commands which carry out a prescribed set of operations. Generally, these will prompt for (or assume) certain data upon which the procedure is carried out. We use the term m-program (or often m-file) to refer to either an m-function or an m-procedure. Although most of the m-programs were written for MATLAB version 4.2, they work for versions 5.1, 5.2, and 7.04. The latter versions offer some new features which may make more efficient implementation of some of the m-programs, and which make possible some new ones. With one exception (so noted), these are not exploited in this collection, because of the pedagogical value of dealing with explicitly developed procedures whose dependence on basic MATLAB is displayed. These programs, with perhaps some exceptions, also run on the MATLAB alternatives SCILAB and OCTAVE. Users of these latter programs should be able to make appropriate adjustments if needed. In addition to the m-programs there is a collection of m-files for specific problems with properly formatted data which can be entered into the workspace by calling the file. These m-files come from a variety of sources ( e.g., exams or problem sets, hence the odd names) and may be useful for examples and exercises.״ http://www.merlot.org/merlot/viewMaterial.htm?id=556366 ״This introductory text surveys random variables, conditional probability and expectation, characteristic functions, infinite sequences of random variables, Markov chains, and an introduction to statistics. Geared toward advanced undergraduates and graduate students. The text does not require measure theory, but underlying measure-theoretic ideas are sketched.״ http://www.merlot.org/merlot/viewMaterial.htm?id=556389 This is a free, online textbook that contains the following topics:Univariate discrete distributions, Univariate continuous distributions, Multivariate discrete distributions, Multivariate continuous distributions, and Multiple choice tests.