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This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection Presents models and methods for identifying unmarked individuals and species Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses Includes companion website containing data sets, code, solutions to exercises, and further information
Praise for the First Edition "The attention to detail is impressive. The book is very wellwritten and the author is extremely careful with his descriptions .. . the examples are wonderful." —The AmericanStatistician Fully revised to reflect the latest methodologies and emergingapplications, Applied Regression Modeling, Second Editioncontinues to highlight the benefits of statistical methods,specifically regression analysis and modeling, for understanding,analyzing, and interpreting multivariate data in business, science,and social science applications. The author utilizes a bounty of real-life examples, casestudies, illustrations, and graphics to introduce readers to theworld of regression analysis using various software packages,including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear andcareful writing style, the book introduces modeling extensions thatillustrate more advanced regression techniques, including logisticregression, Poisson regression, discrete choice models, multilevelmodels, and Bayesian modeling. In addition, the Second Edition features clarificationand expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated andadditional problems are included at the end of each chapter,allowing readers to test their comprehension of the presentedmaterial. In addition, a related website features the book'sdatasets, presentation slides, detailed statistical softwareinstructions, and learning resources including additional problemsand instructional videos. With an intuitive approach that is not heavy on mathematicaldetail, Applied Regression Modeling, Second Edition is anexcellent book for courses on statistical regression analysis atthe upper-undergraduate and graduate level. The book also serves asa valuable resource for professionals and researchers who utilizestatistical methods for decision-making in their everyday work.
This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-file statistical analysts. The authors assemble a broad range of semiparametric regression R analyses and put them in a form that is useful for applied researchers. There are chapters devoted to penalized spines, generalized additive models, grouped data, bivariate extensions of penalized spines, and spatial semi-parametric regression models. Where feasible, the R code is provided in the text, however the book is also accompanied by an external website complete with datasets and R code. Because of its flexibility, semiparametric regression has proven to be of great value with many applications in fields as diverse as astronomy, biology, medicine, economics, and finance. This book is intended for applied statistical analysts who have some familiarity with R.
A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.
أيهما أشد خطراً، المسدس أم حوض السباحة؟ ما هي الأشياء المشتركة بين معلمي المدارس ومصارعي السومو؟ لماذا ما يزال تجار المخدرات يعيشون مع أمهاتهم؟ ما هو مقدار اهتمام الوالدين حقاً؟ ما هو تأثير قضية «رو» و«ويد» في جرائم العنف؟ قد لا تبدو هذه الأسئلة مثل الأسئلة النمطية التي يسألها الاقتصادي، لكن ستيفن د. ليفيت ليس اقتصادياً نمطياً؛ إنه عالم شجاع أكثر من أي شيء آخر، يدرس المادة والأحاجي في الحياة اليومية ــ من الغش والجريمة إلى الرياضة وتربية الأطفال ــ وتقوم استنتاجاته عادة على قلب الحكمة التقليدية رأساً على عقب. وغالباً ما يبدأ بتل كبير من المعطيات وبسؤال بسيط لم يطرح من قبل. إنه يهتم ببعض هذه الأسئلة مثل قضايا الحياة والموت، وبعضها الآخر ذو ميزات استثنائية دون شك. وهكذا يحتوي هذا الكتاب على حقل جديد من الدراسة، وهو (الاقتصاد العجيب). ومن خلال سرده للقصص الآسرة ومن النظرة العميقة غير المباشرة، يبين ليفيت وزميله ستيفن ج. دوبنر أن الاقتصاد -في جذوره- دراسة للحوافز ـــ كيف يحصل الناس على ما يريدون أو يحتاجون، لاسيما عندما يريد الناس الآخرون الشيء ذاته أو يحتاجونه. في كتابهما (الاقتصاد العجيب)، يشرع المؤلفان في استكشاف الجانب الخفي ـــ من كل شيء؛ الأعمال الداخلية لعصابة مخدرات، وحقيقة الوسطاء العقاريين، وأساطير تمويل الحملات. وقصص الغش لدى معلمي المدارس. وأسرار جمعية كوكلوكس كلان (العرقية). ومن هنا فإذا كانت الأخلاق تمثل كيف نريد للعالم أن يسير، فإن الاقتصاد يمثل كيف يعمل العالم فعلاً. صحيح إن قراء هذا الكتاب سيتسلحون بقصص وأحاجٍ تكفي لتروى في آلاف الحفلات، لكن كتاب (الاقتصاد العجيب) يستطيع أن يقدم أكثر من ذلك، إنه يعيد تعريف الطريقة التي ننظر بها إلى العالم الحديث تعريفاً حرفياً. العبيكان للنشر

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